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DEVAIEXP / image-interrogator

The IMAGE-interrogator for SOTA image captioning
MIT License
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Error CUDA is not available + RuntimeError: No GPU found. A GPU is needed for quantization. #14

Closed BenDes21 closed 6 months ago

BenDes21 commented 6 months ago

Hi there, Im sorry in advance I have to open a feature thread for asking help. I correctly installed the script by following the information of this github but Im getting 2 errors when trying to caption an single image with any models 4 bit / fp16 :

Precision : I have cuda 12.2 installed and a RTX 4080 12gb ( around 10 is required for my settings ) and also get The system cannot find the path specified at the start ( the venv folder / path are correctly setup )

_CUDA is not available, using CPU. Warning: this will be very slow! Loading caption model cogvlm-chat-hf... Something went wrong while process captions. Traceback (most recent call last): File "C:\Users\Admin\Documents\Stable diffusion\image-interrogator-1.0.1\image-interrogator.py", line 443, in image_to_prompt validate_reload(caption_model_name, clip_model_name, check_lowvram, device, generate_features, _precision_type, load_4bit, load_8bit) File "C:\Users\Admin\Documents\Stable diffusion\image-interrogator-1.0.1\image-interrogator.py", line 306, in validate_reload load_ci() File "C:\Users\Admin\Documents\Stable diffusion\image-interrogator-1.0.1\image-interrogator.py", line 62, in load_ci ci = Interrogator(config) File "C:\Users\Admin\Documents\Stable diffusion\image-interrogator-1.0.1\clip_interrogator\clip_interrogator.py", line 99, in init self.load_models() File "C:\Users\Admin\Documents\Stable diffusion\image-interrogator-1.0.1\clip_interrogator\clip_interrogator.py", line 103, in load_models self.load_caption_model() File "C:\Users\Admin\Documents\Stable diffusion\image-interrogator-1.0.1\clip_interrogator\clip_interrogator.py", line 207, in load_caption_model self.load_clip_caption_model() File "C:\Users\Admin\Documents\Stable diffusion\image-interrogator-1.0.1\clip_interrogator\clip_interrogator.py", line 173, in load_clip_caption_model caption_model = AutoModelForCausalLM.from_pretrained(self.config.model_path, low_cpu_mem_usage=True, local_files_only=self.config.download_models_to_cache, torch_dtype=self.dtype, trust_remote_code=True, **kwargs) File "C:\Users\Admin\AppData\Local\Programs\Python\Python310\lib\site-packages\transformers\models\auto\auto_factory.py", line 561, in from_pretrained return model_class.from_pretrained( File "C:\Users\Admin\AppData\Local\Programs\Python\Python310\lib\site-packages\transformers\modeling_utils.py", line 3030, in frompretrained raise RuntimeError("No GPU found. A GPU is needed for quantization.") RuntimeError: No GPU found. A GPU is needed for quantization.

Thanks!

elismasilva commented 6 months ago

I think you have some problem with you torch cuda support. To test if cuda is enabled try this on command prompt:

python in python prompt with >> enter with: import torch torch.cuda.is_available()

if its return True you cuda is ok, if false you need try reinstall, maybe some error during installation. image

BenDes21 commented 6 months ago

I think you have some problem with you torch cuda support. To test if cuda is enabled try this on command prompt:

python in python prompt with >> enter with: import torch torch.cuda.is_available()

if its return True you cuda is ok, if false you need try reinstall, maybe some error during installation. image

cuda is correctly installed, tried llava 7b 4 bit and now get this :

Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████| 4/4 [00:06<00:00, 1.64s/it] Generating caption for images... Batch: 1 | Total Images: 1 The attention mask and the pad token id were not set. As a consequence, you may observe unexpected behavior. Please pass your input's attention_mask to obtain reliable results. Setting pad_token_id to eos_token_id:2 for open-end generation. Something went wrong while process captions. Traceback (most recent call last): File "C:\Users\Admin\Documents\Stable diffusion\image-interrogator\image-interrogator.py", line 448, in image_to_prompt prompt = generate_captions(ci, feature_mode, question_prompt, temperature, top_p, max_new_tokens, check_dataset, dataset_name, [image], check_txt_caption, check_only_caption, test_mode) File "C:\Users\Admin\Documents\Stable diffusion\image-interrogator\util\generate.py", line 78, in generatecaptions filename = f"{images[j].orig_file_name}" AttributeError: 'Image' object has no attribute 'orig_file_name'

:(

elismasilva commented 6 months ago

if you don't install with our installer you will get this error. Do a fresh install with 'install_windows.bat T', and put here output generated in console during installation, if erros occour we can see on console.

elismasilva commented 6 months ago

I just did a new test installing from scratch in another path and everything is working fine.

F:\Projetos\teste>git clone https://github.com/DEVAIEXP/image-interrogator.git
Cloning into 'image-interrogator'...
remote: Enumerating objects: 161, done.
remote: Counting objects: 100% (161/161), done.
Receiving objects:   3% (5/161)0% (102/102), done.
Receiving objects:  87% (141/161)sed 119 (delta 46), pack-reused 0
Receiving objects: 100% (161/161), 862.24 KiB | 13.47 MiB/s, done.
Resolving deltas: 100% (66/66), done.

F:\Projetos\teste>cd image-interrogator

F:\Projetos\teste\image-interrogator>install_windows.bat
Creating python venv dir F:\Projetos\teste\image-interrogator\venv in using python "C:\Users\pelol\.pyenv\pyenv-win\versions\3.10.11\python.exe"
Activating python venv
venv "F:\Projetos\teste\image-interrogator\venv\Scripts\Python.exe"
Cloning LLaVA repository...
Cloning into 'LLaVA'...
remote: Enumerating objects: 2250, done.
remote: Counting objects: 100% (608/608), done.
remote: Compressing objects: 100% (109/109), done.
Receiving objects:  99% (2228/2250)sed 499 (delta 499), pack-reused 1642
Receiving objects: 100% (2250/2250), 13.63 MiB | 30.88 MiB/s, done.
Resolving deltas: 100% (1434/1434), done.
Patching LLaVA...
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Building wheels for collected packages: llava
  Building editable for llava (pyproject.toml) ... done
  Created wheel for llava: filename=llava-1.2.0-0.editable-py3-none-any.whl size=16770 sha256=cabcfee8cf750dea50e40bd10dbca734a5f4a8084fe0378ba34b291a016cc457
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Successfully built llava
Installing collected packages: sentencepiece, pytz, pydub, ffmpy, websockets, tzdata, toolz, tomlkit, threadpoolctl, svgwrite, sniffio, six, shortuuid, shellingham, semantic-version, scipy, safetensors, ruff, rpds-py, regex, pyyaml, python-multipart, pyparsing, pygments, pydantic-core, psutil, packaging, orjson, mdurl, markdown2, kiwisolver, joblib, importlib-resources, h11, fsspec, fonttools, exceptiongroup, einops, cycler, contourpy, colorama, attrs, annotated-types, aiofiles, wavedrom, tqdm, scikit-learn, referencing, python-dateutil, pydantic, markdown-it-py, einops-exts, click, anyio, uvicorn, typer, starlette, rich, pandas, matplotlib, jsonschema-specifications, huggingface-hub, httpcore, bitsandbytes, tokenizers, timm, jsonschema, httpx, fastapi, accelerate, transformers, gradio-client, altair, peft, gradio, llava
  DEPRECATION: ffmpy is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559
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  DEPRECATION: wavedrom is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559
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Successfully installed accelerate-0.27.2 aiofiles-23.2.1 altair-5.2.0 annotated-types-0.6.0 anyio-4.3.0 attrs-23.2.0 bitsandbytes-0.43.0 click-8.1.7 colorama-0.4.6 contourpy-1.2.0 cycler-0.12.1 einops-0.6.1 einops-exts-0.0.4 exceptiongroup-1.2.0 fastapi-0.110.0 ffmpy-0.3.2 fonttools-4.50.0 fsspec-2024.3.1 gradio-4.19.2 gradio-client-0.10.1 h11-0.14.0 httpcore-0.17.3 httpx-0.24.1 huggingface-hub-0.21.4 importlib-resources-6.3.1 joblib-1.3.2 jsonschema-4.21.1 jsonschema-specifications-2023.12.1 kiwisolver-1.4.5 llava-1.2.0 markdown-it-py-3.0.0 markdown2-2.4.13 matplotlib-3.8.3 mdurl-0.1.2 orjson-3.9.15 packaging-24.0 pandas-2.2.1 peft-0.9.0 psutil-5.9.8 pydantic-2.6.1 pydantic-core-2.16.2 pydub-0.25.1 pygments-2.17.2 pyparsing-3.1.2 python-dateutil-2.9.0.post0 python-multipart-0.0.9 pytz-2024.1 pyyaml-6.0.1 referencing-0.34.0 regex-2023.12.25 rich-13.7.1 rpds-py-0.18.0 ruff-0.3.3 safetensors-0.4.2 scikit-learn-1.2.2 scipy-1.12.0 semantic-version-2.10.0 sentencepiece-0.1.99 shellingham-1.5.4 shortuuid-1.0.13 six-1.16.0 sniffio-1.3.1 starlette-0.36.3 svgwrite-1.4.3 threadpoolctl-3.3.0 timm-0.9.16 tokenizers-0.15.0 tomlkit-0.12.0 toolz-0.12.1 tqdm-4.66.2 transformers-4.37.2 typer-0.9.0 tzdata-2024.1 uvicorn-0.28.0 wavedrom-2.0.3.post3 websockets-11.0.3

[notice] A new release of pip is available: 23.0.1 -> 24.0
[notice] To update, run: python.exe -m pip install --upgrade pip
Installing other requirements. This could take a few minutes...
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: pip in f:\projetos\teste\image-interrogator\venv\lib\site-packages (23.0.1)
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Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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Building wheels for collected packages: transformers_stream_generator, oss2, aliyun-python-sdk-core, crcmod
  Building wheel for transformers_stream_generator (pyproject.toml) ... done
  Created wheel for transformers_stream_generator: filename=transformers_stream_generator-0.0.4-py3-none-any.whl size=12340 sha256=28b6f8965ff4e57d02df2474a61384dfc9e310c37fc01e6e57a188f01cc24324
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Successfully built transformers_stream_generator oss2 aliyun-python-sdk-core crcmod
Installing collected packages: wcwidth, sortedcontainers, pyreadline3, easygui, crcmod, addict, zipp, xxhash, tomli, simplejson, pycryptodome, pycparser, pyarrow-hotfix, pyarrow, protobuf, platformdirs, multidict, jmespath, humanfriendly, gast, ftfy, fsspec, frozenlist, dill, async-timeout, yarl, tiktoken, multiprocess, importlib-metadata, huggingface-hub, coloredlogs, cffi, aiosignal, yapf, cryptography, aiohttp, aliyun-python-sdk-core, transformers_stream_generator, open_clip_torch, datasets, aliyun-python-sdk-kms, oss2, optimum, modelscope
  Attempting uninstall: fsspec
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  Attempting uninstall: huggingface-hub
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Successfully installed addict-2.4.0 aiohttp-3.9.3 aiosignal-1.3.1 aliyun-python-sdk-core-2.15.0 aliyun-python-sdk-kms-2.16.2 async-timeout-4.0.3 cffi-1.16.0 coloredlogs-15.0.1 crcmod-1.7 cryptography-42.0.5 datasets-2.14.7 dill-0.3.7 easygui-0.98.3 frozenlist-1.4.1 fsspec-2023.10.0 ftfy-6.2.0 gast-0.5.4 huggingface-hub-0.21.3 humanfriendly-10.0 importlib-metadata-7.0.2 jmespath-0.10.0 modelscope-1.13.1 multidict-6.0.5 multiprocess-0.70.15 open_clip_torch-2.24.0 optimum-1.17.1 oss2-2.18.4 platformdirs-4.2.0 protobuf-5.26.0 pyarrow-15.0.2 pyarrow-hotfix-0.6 pycparser-2.21 pycryptodome-3.20.0 pyreadline3-3.4.1 simplejson-3.19.2 sortedcontainers-2.4.0 tiktoken-0.6.0 tomli-2.0.1 transformers_stream_generator-0.0.4 wcwidth-0.2.13 xxhash-3.4.1 yapf-0.40.2 yarl-1.9.4 zipp-3.18.1
Found existing installation: bitsandbytes 0.43.0
Uninstalling bitsandbytes-0.43.0:
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Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting bitsandbytes==0.43.0
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Installing collected packages: bitsandbytes
Successfully installed bitsandbytes-0.43.0
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting triton==2.1.0
  Downloading https://huggingface.co/elismasilva/wheels/resolve/main/triton-2.1.0-cp310-cp310-win_amd64.whl (314.1 MB)
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Requirement already satisfied: filelock in f:\projetos\teste\image-interrogator\venv\lib\site-packages (from triton==2.1.0) (3.9.0)
Installing collected packages: triton
Successfully installed triton-2.1.0
Looking in indexes: https://download.pytorch.org/whl/cu118, https://pypi.ngc.nvidia.com
Collecting xformers==0.0.24
  Downloading https://download.pytorch.org/whl/cu118/xformers-0.0.24%2Bcu118-cp310-cp310-win_amd64.whl (102.1 MB)
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Installing collected packages: xformers
Successfully installed xformers-0.0.24+cu118
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com, https://huggingface.github.io/autogptq-index/whl/cu118/
Collecting auto-gptq==0.7.1
  Downloading https://huggingface.github.io/autogptq-index/whl/cu118/auto-gptq/auto_gptq-0.7.1%2Bcu118-cp310-cp310-win_amd64.whl (4.7 MB)
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Collecting rouge (from auto-gptq==0.7.1)
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Downloading gekko-1.0.7-py3-none-any.whl (13.1 MB)
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Downloading rouge-1.0.1-py3-none-any.whl (13 kB)
Installing collected packages: rouge, gekko, auto-gptq
Successfully installed auto-gptq-0.7.1+cu118 gekko-1.0.7 rouge-1.0.1
Patching PIL...
        1 arquivo(s) copiado(s).
Patching Gradio...
        1 arquivo(s) copiado(s).

All done!. Launch 'start.bat'.
Pressione qualquer tecla para continuar. . .

And after i tested Llava

Precision Type: FP16
Load Mode: 4bit
Device: auto
Optimize for Low VRAM: False
Include image features in the prompt: False
Don't save dataset images: False
Generate individual caption file: True
Generate dataset: False
Dataset Name: Default
Caption Model: llava-v1.5-7b
Max outputs tokens: 2048
Temperature: 0.2
Top p: 0.7
Question prompt: Provide caption for the image in one sentence. Be detailed but precise.
----------------------------------------------------------------------------------------------------
Loading caption model llava-v1.5-7b...
You are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.
Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████| 2/2 [00:09<00:00,  4.52s/it]
Generating caption for images... Batch: 1 | Total Images: 1
F:\Projetos\teste\image-interrogator\venv\lib\site-packages\transformers\models\llama\modeling_llama.py:728: UserWarning: 1Torch was not compiled with flash attention. (Triggered internally at ..\aten\src\ATen\native\transformers\cuda\sdp_utils.cpp:263.)
  attn_output = torch.nn.functional.scaled_dot_product_attention(
Saving file...: F:\Projetos\teste\image-interrogator\outputs\images\2024-03-18\Default\ohwx (6).jpg
Generating individual file caption...: F:\Projetos\teste\image-interrogator\outputs\images\2024-03-18\Default\ohwx (6).txt
Saving dataset metadata...
Image process completed!
BenDes21 commented 6 months ago

I just did a new test installing from scratch in another path and everything is working fine.

F:\Projetos\teste>git clone https://github.com/DEVAIEXP/image-interrogator.git
Cloning into 'image-interrogator'...
remote: Enumerating objects: 161, done.
remote: Counting objects: 100% (161/161), done.
Receiving objects:   3% (5/161)0% (102/102), done.
Receiving objects:  87% (141/161)sed 119 (delta 46), pack-reused 0
Receiving objects: 100% (161/161), 862.24 KiB | 13.47 MiB/s, done.
Resolving deltas: 100% (66/66), done.

F:\Projetos\teste>cd image-interrogator

F:\Projetos\teste\image-interrogator>install_windows.bat
Creating python venv dir F:\Projetos\teste\image-interrogator\venv in using python "C:\Users\pelol\.pyenv\pyenv-win\versions\3.10.11\python.exe"
Activating python venv
venv "F:\Projetos\teste\image-interrogator\venv\Scripts\Python.exe"
Cloning LLaVA repository...
Cloning into 'LLaVA'...
remote: Enumerating objects: 2250, done.
remote: Counting objects: 100% (608/608), done.
remote: Compressing objects: 100% (109/109), done.
Receiving objects:  99% (2228/2250)sed 499 (delta 499), pack-reused 1642
Receiving objects: 100% (2250/2250), 13.63 MiB | 30.88 MiB/s, done.
Resolving deltas: 100% (1434/1434), done.
Patching LLaVA...
        1 arquivo(s) copiado(s).
        1 arquivo(s) copiado(s).
Installing LLaVA. This could take a few minutes...
Looking in indexes: https://download.pytorch.org/whl/cu118, https://pypi.ngc.nvidia.com
Collecting torch==2.2.0
  Downloading https://download.pytorch.org/whl/cu118/torch-2.2.0%2Bcu118-cp310-cp310-win_amd64.whl (2704.3 MB)
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Collecting torchvision
  Downloading https://download.pytorch.org/whl/cu118/torchvision-0.17.1%2Bcu118-cp310-cp310-win_amd64.whl (4.9 MB)
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Collecting torchaudio
  Downloading https://download.pytorch.org/whl/cu118/torchaudio-2.2.1%2Bcu118-cp310-cp310-win_amd64.whl (4.0 MB)
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Collecting jinja2
  Downloading https://download.pytorch.org/whl/Jinja2-3.1.2-py3-none-any.whl (133 kB)
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Collecting filelock
  Downloading https://download.pytorch.org/whl/filelock-3.9.0-py3-none-any.whl (9.7 kB)
Collecting sympy
  Downloading https://download.pytorch.org/whl/sympy-1.12-py3-none-any.whl (5.7 MB)
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Collecting networkx
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Collecting fsspec
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Collecting typing-extensions>=4.8.0
  Downloading https://download.pytorch.org/whl/typing_extensions-4.8.0-py3-none-any.whl (31 kB)
Collecting numpy
  Downloading https://download.pytorch.org/whl/numpy-1.26.3-cp310-cp310-win_amd64.whl (15.8 MB)
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Collecting pillow!=8.3.*,>=5.3.0
  Downloading https://download.pytorch.org/whl/pillow-10.2.0-cp310-cp310-win_amd64.whl (2.6 MB)
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Collecting torchvision
  Downloading https://download.pytorch.org/whl/cu118/torchvision-0.17.0%2Bcu118-cp310-cp310-win_amd64.whl (4.9 MB)
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Collecting requests
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Collecting torchaudio
  Downloading https://download.pytorch.org/whl/cu118/torchaudio-2.2.0%2Bcu118-cp310-cp310-win_amd64.whl (4.0 MB)
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Collecting MarkupSafe>=2.0
  Downloading https://download.pytorch.org/whl/MarkupSafe-2.1.3-cp310-cp310-win_amd64.whl (17 kB)
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Collecting charset-normalizer<3,>=2
  Downloading https://download.pytorch.org/whl/charset_normalizer-2.1.1-py3-none-any.whl (39 kB)
Collecting certifi>=2017.4.17
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Collecting urllib3<1.27,>=1.21.1
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Collecting mpmath>=0.19
  Downloading https://download.pytorch.org/whl/mpmath-1.3.0-py3-none-any.whl (536 kB)
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Installing collected packages: mpmath, urllib3, typing-extensions, sympy, pillow, numpy, networkx, MarkupSafe, idna, fsspec, filelock, charset-normalizer, certifi, requests, jinja2, torch, torchvision, torchaudio
Successfully installed MarkupSafe-2.1.3 certifi-2022.12.7 charset-normalizer-2.1.1 filelock-3.9.0 fsspec-2023.4.0 idna-3.4 jinja2-3.1.2 mpmath-1.3.0 networkx-3.2.1 numpy-1.26.3 pillow-10.2.0 requests-2.28.1 sympy-1.12 torch-2.2.0+cu118 torchaudio-2.2.0+cu118 torchvision-0.17.0+cu118 typing-extensions-4.8.0 urllib3-1.26.13
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Obtaining file:///F:/Projetos/teste/image-interrogator/repositories/LLaVA
  Installing build dependencies ... done
  Checking if build backend supports build_editable ... done
  Getting requirements to build editable ... done
  Installing backend dependencies ... done
  Preparing editable metadata (pyproject.toml) ... done
Collecting bitsandbytes>=0.41.2
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Collecting gradio==4.19.2
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Collecting scikit-learn==1.2.2
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Collecting peft==0.9.0
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Collecting gradio-client==0.10.1
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Collecting fastapi
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Collecting uvicorn
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Collecting accelerate==0.27.2
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Collecting tokenizers==0.15.0
  Downloading tokenizers-0.15.0-cp310-none-win_amd64.whl (2.2 MB)
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Collecting httpx==0.24.1
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Requirement already satisfied: numpy in f:\projetos\teste\image-interrogator\venv\lib\site-packages (from llava==1.2.0) (1.26.3)
Collecting einops==0.6.1
  Downloading einops-0.6.1-py3-none-any.whl (42 kB)
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Collecting shortuuid
  Downloading shortuuid-1.0.13-py3-none-any.whl (10 kB)
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Collecting timm==0.9.16
  Downloading timm-0.9.16-py3-none-any.whl (2.2 MB)
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Collecting einops-exts==0.0.4
  Downloading einops_exts-0.0.4-py3-none-any.whl (3.9 kB)
Collecting sentencepiece==0.1.99
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Requirement already satisfied: requests in f:\projetos\teste\image-interrogator\venv\lib\site-packages (from llava==1.2.0) (2.28.1)
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Collecting mdurl~=0.1
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Building wheels for collected packages: llava
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  Created wheel for llava: filename=llava-1.2.0-0.editable-py3-none-any.whl size=16770 sha256=cabcfee8cf750dea50e40bd10dbca734a5f4a8084fe0378ba34b291a016cc457
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Successfully built llava
Installing collected packages: sentencepiece, pytz, pydub, ffmpy, websockets, tzdata, toolz, tomlkit, threadpoolctl, svgwrite, sniffio, six, shortuuid, shellingham, semantic-version, scipy, safetensors, ruff, rpds-py, regex, pyyaml, python-multipart, pyparsing, pygments, pydantic-core, psutil, packaging, orjson, mdurl, markdown2, kiwisolver, joblib, importlib-resources, h11, fsspec, fonttools, exceptiongroup, einops, cycler, contourpy, colorama, attrs, annotated-types, aiofiles, wavedrom, tqdm, scikit-learn, referencing, python-dateutil, pydantic, markdown-it-py, einops-exts, click, anyio, uvicorn, typer, starlette, rich, pandas, matplotlib, jsonschema-specifications, huggingface-hub, httpcore, bitsandbytes, tokenizers, timm, jsonschema, httpx, fastapi, accelerate, transformers, gradio-client, altair, peft, gradio, llava
  DEPRECATION: ffmpy is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559
  Running setup.py install for ffmpy ... done
  Attempting uninstall: fsspec
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  DEPRECATION: wavedrom is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559
  Running setup.py install for wavedrom ... done
Successfully installed accelerate-0.27.2 aiofiles-23.2.1 altair-5.2.0 annotated-types-0.6.0 anyio-4.3.0 attrs-23.2.0 bitsandbytes-0.43.0 click-8.1.7 colorama-0.4.6 contourpy-1.2.0 cycler-0.12.1 einops-0.6.1 einops-exts-0.0.4 exceptiongroup-1.2.0 fastapi-0.110.0 ffmpy-0.3.2 fonttools-4.50.0 fsspec-2024.3.1 gradio-4.19.2 gradio-client-0.10.1 h11-0.14.0 httpcore-0.17.3 httpx-0.24.1 huggingface-hub-0.21.4 importlib-resources-6.3.1 joblib-1.3.2 jsonschema-4.21.1 jsonschema-specifications-2023.12.1 kiwisolver-1.4.5 llava-1.2.0 markdown-it-py-3.0.0 markdown2-2.4.13 matplotlib-3.8.3 mdurl-0.1.2 orjson-3.9.15 packaging-24.0 pandas-2.2.1 peft-0.9.0 psutil-5.9.8 pydantic-2.6.1 pydantic-core-2.16.2 pydub-0.25.1 pygments-2.17.2 pyparsing-3.1.2 python-dateutil-2.9.0.post0 python-multipart-0.0.9 pytz-2024.1 pyyaml-6.0.1 referencing-0.34.0 regex-2023.12.25 rich-13.7.1 rpds-py-0.18.0 ruff-0.3.3 safetensors-0.4.2 scikit-learn-1.2.2 scipy-1.12.0 semantic-version-2.10.0 sentencepiece-0.1.99 shellingham-1.5.4 shortuuid-1.0.13 six-1.16.0 sniffio-1.3.1 starlette-0.36.3 svgwrite-1.4.3 threadpoolctl-3.3.0 timm-0.9.16 tokenizers-0.15.0 tomlkit-0.12.0 toolz-0.12.1 tqdm-4.66.2 transformers-4.37.2 typer-0.9.0 tzdata-2024.1 uvicorn-0.28.0 wavedrom-2.0.3.post3 websockets-11.0.3

[notice] A new release of pip is available: 23.0.1 -> 24.0
[notice] To update, run: python.exe -m pip install --upgrade pip
Installing other requirements. This could take a few minutes...
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: pip in f:\projetos\teste\image-interrogator\venv\lib\site-packages (23.0.1)
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Installing collected packages: pip
  Attempting uninstall: pip
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Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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Building wheels for collected packages: transformers_stream_generator, oss2, aliyun-python-sdk-core, crcmod
  Building wheel for transformers_stream_generator (pyproject.toml) ... done
  Created wheel for transformers_stream_generator: filename=transformers_stream_generator-0.0.4-py3-none-any.whl size=12340 sha256=28b6f8965ff4e57d02df2474a61384dfc9e310c37fc01e6e57a188f01cc24324
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  Building wheel for oss2 (pyproject.toml) ... done
  Created wheel for oss2: filename=oss2-2.18.4-py3-none-any.whl size=115998 sha256=9fe294e550a3637b89bedcd292f3a790f91b390bc7f68a565efdbae79d77b991
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  Created wheel for aliyun-python-sdk-core: filename=aliyun_python_sdk_core-2.15.0-py3-none-any.whl size=535323 sha256=8ab4519e3c3b44c3501102a985839826efc6b0b516c6f9bfcfd4845d780332a8
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  Created wheel for crcmod: filename=crcmod-1.7-cp310-cp310-win_amd64.whl size=25153 sha256=27f7303973821fcb2025e52d76e1b0a893e85c2abe6e6317e65adbeee1d8c20e
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Successfully built transformers_stream_generator oss2 aliyun-python-sdk-core crcmod
Installing collected packages: wcwidth, sortedcontainers, pyreadline3, easygui, crcmod, addict, zipp, xxhash, tomli, simplejson, pycryptodome, pycparser, pyarrow-hotfix, pyarrow, protobuf, platformdirs, multidict, jmespath, humanfriendly, gast, ftfy, fsspec, frozenlist, dill, async-timeout, yarl, tiktoken, multiprocess, importlib-metadata, huggingface-hub, coloredlogs, cffi, aiosignal, yapf, cryptography, aiohttp, aliyun-python-sdk-core, transformers_stream_generator, open_clip_torch, datasets, aliyun-python-sdk-kms, oss2, optimum, modelscope
  Attempting uninstall: fsspec
    Found existing installation: fsspec 2024.3.1
    Uninstalling fsspec-2024.3.1:
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  Attempting uninstall: huggingface-hub
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Found existing installation: bitsandbytes 0.43.0
Uninstalling bitsandbytes-0.43.0:
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Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting bitsandbytes==0.43.0
  Downloading bitsandbytes-0.43.0-py3-none-win_amd64.whl.metadata (1.9 kB)
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Installing collected packages: bitsandbytes
Successfully installed bitsandbytes-0.43.0
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting triton==2.1.0
  Downloading https://huggingface.co/elismasilva/wheels/resolve/main/triton-2.1.0-cp310-cp310-win_amd64.whl (314.1 MB)
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Installing collected packages: triton
Successfully installed triton-2.1.0
Looking in indexes: https://download.pytorch.org/whl/cu118, https://pypi.ngc.nvidia.com
Collecting xformers==0.0.24
  Downloading https://download.pytorch.org/whl/cu118/xformers-0.0.24%2Bcu118-cp310-cp310-win_amd64.whl (102.1 MB)
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Installing collected packages: xformers
Successfully installed xformers-0.0.24+cu118
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com, https://huggingface.github.io/autogptq-index/whl/cu118/
Collecting auto-gptq==0.7.1
  Downloading https://huggingface.github.io/autogptq-index/whl/cu118/auto-gptq/auto_gptq-0.7.1%2Bcu118-cp310-cp310-win_amd64.whl (4.7 MB)
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Collecting rouge (from auto-gptq==0.7.1)
  Downloading rouge-1.0.1-py3-none-any.whl.metadata (4.1 kB)
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Downloading gekko-1.0.7-py3-none-any.whl (13.1 MB)
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Downloading rouge-1.0.1-py3-none-any.whl (13 kB)
Installing collected packages: rouge, gekko, auto-gptq
Successfully installed auto-gptq-0.7.1+cu118 gekko-1.0.7 rouge-1.0.1
Patching PIL...
        1 arquivo(s) copiado(s).
Patching Gradio...
        1 arquivo(s) copiado(s).

All done!. Launch 'start.bat'.
Pressione qualquer tecla para continuar. . .

And after i tested Llava

Precision Type: FP16
Load Mode: 4bit
Device: auto
Optimize for Low VRAM: False
Include image features in the prompt: False
Don't save dataset images: False
Generate individual caption file: True
Generate dataset: False
Dataset Name: Default
Caption Model: llava-v1.5-7b
Max outputs tokens: 2048
Temperature: 0.2
Top p: 0.7
Question prompt: Provide caption for the image in one sentence. Be detailed but precise.
----------------------------------------------------------------------------------------------------
Loading caption model llava-v1.5-7b...
You are using a model of type llava to instantiate a model of type llava_llama. This is not supported for all configurations of models and can yield errors.
Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████| 2/2 [00:09<00:00,  4.52s/it]
Generating caption for images... Batch: 1 | Total Images: 1
F:\Projetos\teste\image-interrogator\venv\lib\site-packages\transformers\models\llama\modeling_llama.py:728: UserWarning: 1Torch was not compiled with flash attention. (Triggered internally at ..\aten\src\ATen\native\transformers\cuda\sdp_utils.cpp:263.)
  attn_output = torch.nn.functional.scaled_dot_product_attention(
Saving file...: F:\Projetos\teste\image-interrogator\outputs\images\2024-03-18\Default\ohwx (6).jpg
Generating individual file caption...: F:\Projetos\teste\image-interrogator\outputs\images\2024-03-18\Default\ohwx (6).txt
Saving dataset metadata...
Image process completed!

Thanks a lot, here the log of my clean installation :

Microsoft Windows [Version 10.0.22631.3296] (c) Microsoft Corporation. All rights reserved.

C:\Users\Admin\Documents\Stable diffusion>git clone https://github.com/DEVAIEXP/image-interrogator.git Cloning into 'image-interrogator'... remote: Enumerating objects: 161, done. remote: Counting objects: 100% (161/161), done. remote: Compressing objects: 100% (102/102), done. remote: Total 161 (delta 66), reused 119 (delta 46), pack-reused 0 Receiving objects: 88% (142/161), 692.00 KiB | 133.00 KiB/s Receiving objects: 100% (161/161), 862.24 KiB | 153.00 KiB/s, done. Resolving deltas: 100% (66/66), done.

C:\Users\Admin\Documents\Stable diffusion>cd image-interrogator

C:\Users\Admin\Documents\Stable diffusion\image-interrogator>install_windows.bat t Creating python venv dir C:\Users\Admin\Documents\Stable diffusion\image-interrogator\venv in using python "C:\Users\Admin\AppData\Local\Programs\Python\Python310\python.exe" Activating python venv venv "C:\Users\Admin\Documents\Stable diffusion\image-interrogator\venv\Scripts\Python.exe" 'C:\Users\Admin\Documents\Stable' is not recognized as an internal or external command, operable program or batch file. Cloning LLaVA repository... Cloning into 'LLaVA'... remote: Enumerating objects: 2250, done. remote: Counting objects: 100% (595/595), done. remote: Compressing objects: 100% (109/109), done. remote: Total 2250 (delta 527), reused 486 (delta 486), pack-reused 1655 Receiving objects: 100% (2250/2250), 13.63 MiB | 302.00 KiB/s, done.

Resolving deltas: 100% (1434/1434), done. Patching LLaVA... 1 file(s) copied. 1 file(s) copied. Installing LLaVA. This could take a few minutes... WARNING: Ignoring invalid distribution -rotobuf (c:\users\admin\appdata\local\programs\python\python310\lib\site-packages) Looking in indexes: https://download.pytorch.org/whl/cu118 Requirement already satisfied: torch==2.2.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (2.2.0+cu118) Requirement already satisfied: torchvision in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (0.17.0+cu118) Collecting torchvision Using cached https://download.pytorch.org/whl/cu118/torchvision-0.17.1%2Bcu118-cp310-cp310-win_amd64.whl (4.9 MB) Requirement already satisfied: torchaudio in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (2.2.0+cu118) Collecting torchaudio Using cached https://download.pytorch.org/whl/cu118/torchaudio-2.2.1%2Bcu118-cp310-cp310-win_amd64.whl (4.0 MB) Requirement already satisfied: filelock in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from torch==2.2.0) (3.9.0) Requirement already satisfied: typing-extensions>=4.8.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from torch==2.2.0) (4.10.0) Requirement already satisfied: sympy in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from torch==2.2.0) (1.11.1) Requirement already satisfied: networkx in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from torch==2.2.0) (3.0) Requirement already satisfied: jinja2 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from torch==2.2.0) (3.1.2) Requirement already satisfied: fsspec in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from torch==2.2.0) (2023.6.0) Requirement already satisfied: numpy in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from torchvision) (1.26.1) INFO: pip is looking at multiple versions of torchvision to determine which version is compatible with other requirements. This could take a while. Requirement already satisfied: requests in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from torchvision) (2.31.0) Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from torchvision) (10.2.0) INFO: pip is looking at multiple versions of torchaudio to determine which version is compatible with other requirements. This could take a while. Requirement already satisfied: MarkupSafe>=2.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from jinja2->torch==2.2.0) (2.1.2) Requirement already satisfied: charset-normalizer<4,>=2 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from requests->torchvision) (3.1.0) Requirement already satisfied: idna<4,>=2.5 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from requests->torchvision) (3.4) Requirement already satisfied: urllib3<3,>=1.21.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from requests->torchvision) (1.26.16) Requirement already satisfied: certifi>=2017.4.17 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from requests->torchvision) (2023.11.17) Requirement already satisfied: mpmath>=0.19 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from sympy->torch==2.2.0) (1.2.1) WARNING: Ignoring invalid distribution -rotobuf (c:\users\admin\appdata\local\programs\python\python310\lib\site-packages) WARNING: Ignoring invalid distribution -rotobuf (c:\users\admin\appdata\local\programs\python\python310\lib\site-packages) Obtaining file:///C:/Users/Admin/Documents/Stable%20diffusion/image-interrogator/repositories/LLaVA Installing build dependencies ... done Checking if build backend supports build_editable ... done Getting requirements to build editable ... done Installing backend dependencies ... done Preparing editable metadata (pyproject.toml) ... done Requirement already satisfied: torch==2.2.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from llava==1.2.0) (2.2.0+cu118) Requirement already satisfied: torchvision==0.17.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from llava==1.2.0) (0.17.0+cu118) Requirement already satisfied: transformers==4.37.2 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from llava==1.2.0) (4.37.2) Requirement already satisfied: tokenizers==0.15.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from llava==1.2.0) (0.15.0) Requirement already satisfied: sentencepiece==0.1.99 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from llava==1.2.0) (0.1.99) Requirement already satisfied: shortuuid in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from llava==1.2.0) (1.0.13) Requirement already satisfied: accelerate==0.27.2 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from llava==1.2.0) (0.27.2) Requirement already satisfied: peft==0.9.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from llava==1.2.0) (0.9.0) Requirement already satisfied: bitsandbytes>=0.41.2 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from llava==1.2.0) (0.43.0) Requirement already satisfied: pydantic==2.6.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from llava==1.2.0) (2.6.1) Requirement already satisfied: markdown2[all] in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from llava==1.2.0) (2.4.13) Requirement already satisfied: numpy in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from llava==1.2.0) (1.26.1) Requirement already satisfied: scikit-learn==1.2.2 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from llava==1.2.0) (1.2.2) Requirement already satisfied: gradio==4.19.2 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from llava==1.2.0) (4.19.2) Requirement already satisfied: gradio-client==0.10.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from llava==1.2.0) (0.10.1) Requirement already satisfied: requests in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from llava==1.2.0) (2.31.0) Requirement already satisfied: httpx==0.24.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from llava==1.2.0) (0.24.1) Requirement already satisfied: uvicorn in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from llava==1.2.0) (0.23.2) Requirement already satisfied: fastapi in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from llava==1.2.0) (0.103.1) Requirement already satisfied: einops==0.6.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from llava==1.2.0) (0.6.1) Requirement already satisfied: einops-exts==0.0.4 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from llava==1.2.0) (0.0.4) Requirement already satisfied: timm==0.9.16 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from llava==1.2.0) (0.9.16) Requirement already satisfied: packaging>=20.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from accelerate==0.27.2->llava==1.2.0) (23.1) Requirement already satisfied: psutil in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from accelerate==0.27.2->llava==1.2.0) (5.9.6) Requirement already satisfied: pyyaml in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from accelerate==0.27.2->llava==1.2.0) (6.0.1) Requirement already satisfied: huggingface-hub in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from accelerate==0.27.2->llava==1.2.0) (0.21.3) Requirement already satisfied: safetensors>=0.3.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from accelerate==0.27.2->llava==1.2.0) (0.4.2) Requirement already satisfied: aiofiles<24.0,>=22.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->llava==1.2.0) (23.2.1) Requirement already satisfied: altair<6.0,>=4.2.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->llava==1.2.0) (4.2.2) Requirement already satisfied: ffmpy in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->llava==1.2.0) (0.3.1) Requirement already satisfied: importlib-resources<7.0,>=1.3 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->llava==1.2.0) (6.0.1) Requirement already satisfied: jinja2<4.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->llava==1.2.0) (3.1.2) Requirement already satisfied: markupsafe~=2.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->llava==1.2.0) (2.1.2) Requirement already satisfied: matplotlib~=3.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->llava==1.2.0) (3.7.2) Requirement already satisfied: orjson~=3.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->llava==1.2.0) (3.9.7) Requirement already satisfied: pandas<3.0,>=1.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->llava==1.2.0) (2.1.0) Requirement already satisfied: pillow<11.0,>=8.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->llava==1.2.0) (10.2.0) Requirement already satisfied: pydub in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->llava==1.2.0) (0.25.1) Requirement already satisfied: python-multipart>=0.0.9 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->llava==1.2.0) (0.0.9) Requirement already satisfied: ruff>=0.2.2 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->llava==1.2.0) (0.3.3) Requirement already satisfied: semantic-version~=2.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->llava==1.2.0) (2.10.0) Requirement already satisfied: tomlkit==0.12.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->llava==1.2.0) (0.12.0) Requirement already satisfied: typer<1.0,>=0.9 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from typer[all]<1.0,>=0.9->gradio==4.19.2->llava==1.2.0) (0.9.0) Requirement already satisfied: typing-extensions~=4.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->llava==1.2.0) (4.10.0) Requirement already satisfied: fsspec in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio-client==0.10.1->llava==1.2.0) (2023.6.0) Requirement already satisfied: websockets<12.0,>=10.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio-client==0.10.1->llava==1.2.0) (11.0.3) Requirement already satisfied: certifi in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from httpx==0.24.1->llava==1.2.0) (2023.11.17) Requirement already satisfied: httpcore<0.18.0,>=0.15.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from httpx==0.24.1->llava==1.2.0) (0.17.3) Requirement already satisfied: idna in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from httpx==0.24.1->llava==1.2.0) (3.4) Requirement already satisfied: sniffio in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from httpx==0.24.1->llava==1.2.0) (1.3.0) Requirement already satisfied: tqdm in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from peft==0.9.0->llava==1.2.0) (4.66.1) Requirement already satisfied: annotated-types>=0.4.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from pydantic==2.6.1->llava==1.2.0) (0.5.0) Requirement already satisfied: pydantic-core==2.16.2 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from pydantic==2.6.1->llava==1.2.0) (2.16.2) Requirement already satisfied: scipy>=1.3.2 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from scikit-learn==1.2.2->llava==1.2.0) (1.11.2) Requirement already satisfied: joblib>=1.1.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from scikit-learn==1.2.2->llava==1.2.0) (1.3.2) Requirement already satisfied: threadpoolctl>=2.0.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from scikit-learn==1.2.2->llava==1.2.0) (3.2.0) Requirement already satisfied: filelock in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from torch==2.2.0->llava==1.2.0) (3.9.0) Requirement already satisfied: sympy in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from torch==2.2.0->llava==1.2.0) (1.11.1) Requirement already satisfied: networkx in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from torch==2.2.0->llava==1.2.0) (3.0) Requirement already satisfied: regex!=2019.12.17 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from transformers==4.37.2->llava==1.2.0) (2023.6.3) Requirement already satisfied: click>=7.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from uvicorn->llava==1.2.0) (8.1.6) Requirement already satisfied: h11>=0.8 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from uvicorn->llava==1.2.0) (0.14.0) Requirement already satisfied: anyio<4.0.0,>=3.7.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from fastapi->llava==1.2.0) (3.7.1) Requirement already satisfied: starlette<0.28.0,>=0.27.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from fastapi->llava==1.2.0) (0.27.0) Requirement already satisfied: pygments>=2.7.3 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from markdown2[all]->llava==1.2.0) (2.16.1) Requirement already satisfied: wavedrom in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from markdown2[all]->llava==1.2.0) (2.0.3.post3) Requirement already satisfied: charset-normalizer<4,>=2 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from requests->llava==1.2.0) (3.1.0) Requirement already satisfied: urllib3<3,>=1.21.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from requests->llava==1.2.0) (1.26.16) Requirement already satisfied: entrypoints in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from altair<6.0,>=4.2.0->gradio==4.19.2->llava==1.2.0) (0.4) Requirement already satisfied: jsonschema>=3.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from altair<6.0,>=4.2.0->gradio==4.19.2->llava==1.2.0) (4.19.0) Requirement already satisfied: toolz in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from altair<6.0,>=4.2.0->gradio==4.19.2->llava==1.2.0) (0.12.0) Requirement already satisfied: exceptiongroup in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from anyio<4.0.0,>=3.7.1->fastapi->llava==1.2.0) (1.1.3) Requirement already satisfied: colorama in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from click>=7.0->uvicorn->llava==1.2.0) (0.4.6) Requirement already satisfied: contourpy>=1.0.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from matplotlib~=3.0->gradio==4.19.2->llava==1.2.0) (1.1.0) Requirement already satisfied: cycler>=0.10 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from matplotlib~=3.0->gradio==4.19.2->llava==1.2.0) (0.11.0) Requirement already satisfied: fonttools>=4.22.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from matplotlib~=3.0->gradio==4.19.2->llava==1.2.0) (4.42.1) Requirement already satisfied: kiwisolver>=1.0.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from matplotlib~=3.0->gradio==4.19.2->llava==1.2.0) (1.4.5) Requirement already satisfied: pyparsing<3.1,>=2.3.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from matplotlib~=3.0->gradio==4.19.2->llava==1.2.0) (3.0.9) Requirement already satisfied: python-dateutil>=2.7 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from matplotlib~=3.0->gradio==4.19.2->llava==1.2.0) (2.8.2) Requirement already satisfied: pytz>=2020.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from pandas<3.0,>=1.0->gradio==4.19.2->llava==1.2.0) (2023.3.post1) Requirement already satisfied: tzdata>=2022.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from pandas<3.0,>=1.0->gradio==4.19.2->llava==1.2.0) (2023.3) Requirement already satisfied: shellingham<2.0.0,>=1.3.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from typer[all]<1.0,>=0.9->gradio==4.19.2->llava==1.2.0) (1.5.4) Requirement already satisfied: rich<14.0.0,>=10.11.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from typer[all]<1.0,>=0.9->gradio==4.19.2->llava==1.2.0) (13.4.1) Requirement already satisfied: mpmath>=0.19 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from sympy->torch==2.2.0->llava==1.2.0) (1.2.1) Requirement already satisfied: svgwrite in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from wavedrom->markdown2[all]->llava==1.2.0) (1.4.3) Requirement already satisfied: six in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from wavedrom->markdown2[all]->llava==1.2.0) (1.16.0) Requirement already satisfied: attrs>=22.2.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio==4.19.2->llava==1.2.0) (23.1.0) Requirement already satisfied: jsonschema-specifications>=2023.03.6 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio==4.19.2->llava==1.2.0) (2023.7.1) Requirement already satisfied: referencing>=0.28.4 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio==4.19.2->llava==1.2.0) (0.30.2) Requirement already satisfied: rpds-py>=0.7.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from jsonschema>=3.0->altair<6.0,>=4.2.0->gradio==4.19.2->llava==1.2.0) (0.10.2) Requirement already satisfied: markdown-it-py<3.0.0,>=2.2.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from rich<14.0.0,>=10.11.0->typer[all]<1.0,>=0.9->gradio==4.19.2->llava==1.2.0) (2.2.0) Requirement already satisfied: mdurl~=0.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from markdown-it-py<3.0.0,>=2.2.0->rich<14.0.0,>=10.11.0->typer[all]<1.0,>=0.9->gradio==4.19.2->llava==1.2.0) (0.1.2) Building wheels for collected packages: llava Building editable for llava (pyproject.toml) ... done Created wheel for llava: filename=llava-1.2.0-0.editable-py3-none-any.whl size=16796 sha256=31b525427df29bd21f1deb033f004b74986afef10c5da24f8dbf89c7c5a4a5a3 Stored in directory: C:\Users\Admin\AppData\Local\Temp\pip-ephem-wheel-cache-etck7_b3\wheels\4a\34\27\6c0deb69c0a47d90287fadb2bf202b1c6329ea64831aaf9d25 Successfully built llava WARNING: Ignoring invalid distribution -rotobuf (c:\users\admin\appdata\local\programs\python\python310\lib\site-packages) Installing collected packages: llava Attempting uninstall: llava Found existing installation: llava 1.2.0 Uninstalling llava-1.2.0: Successfully uninstalled llava-1.2.0 Successfully installed llava-1.2.0 Installing other requirements. This could take a few minutes... WARNING: Ignoring invalid distribution -rotobuf (c:\users\admin\appdata\local\programs\python\python310\lib\site-packages) Requirement already satisfied: pip in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (24.0) WARNING: Ignoring invalid distribution -rotobuf (c:\users\admin\appdata\local\programs\python\python310\lib\site-packages) WARNING: Ignoring invalid distribution -rotobuf (c:\users\admin\appdata\local\programs\python\python310\lib\site-packages) Requirement already satisfied: transformers==4.37.2 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from -r requirements.txt (line 1)) (4.37.2) Requirement already satisfied: transformers_stream_generator==0.0.4 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from -r requirements.txt (line 2)) (0.0.4) Requirement already satisfied: tokenizers==0.15.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from -r requirements.txt (line 3)) (0.15.0) Requirement already satisfied: huggingface-hub==0.21.3 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from -r requirements.txt (line 4)) (0.21.3) Requirement already satisfied: datasets==2.14.7 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from -r requirements.txt (line 5)) (2.14.7) Requirement already satisfied: gradio==4.19.2 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from -r requirements.txt (line 6)) (4.19.2) Requirement already satisfied: gradio_client==0.10.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from -r requirements.txt (line 7)) (0.10.1) Requirement already satisfied: peft==0.9.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from -r requirements.txt (line 8)) (0.9.0) Requirement already satisfied: httpx==0.24.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from -r requirements.txt (line 9)) (0.24.1) Requirement already satisfied: einops==0.6.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from -r requirements.txt (line 10)) (0.6.1) Requirement already satisfied: einops-exts==0.0.4 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from -r requirements.txt (line 11)) (0.0.4) Requirement already satisfied: timm==0.9.16 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from -r requirements.txt (line 12)) (0.9.16) Requirement already satisfied: pydantic==2.6.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from -r requirements.txt (line 13)) (2.6.1) Requirement already satisfied: pillow==10.2.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from -r requirements.txt (line 14)) (10.2.0) Requirement already satisfied: scikit-learn==1.2.2 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from -r requirements.txt (line 15)) (1.2.2) Requirement already satisfied: easygui in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from -r requirements.txt (line 16)) (0.98.3) Requirement already satisfied: open_clip_torch in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from -r requirements.txt (line 17)) (2.20.0) Requirement already satisfied: modelscope in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from -r requirements.txt (line 18)) (1.13.1) Requirement already satisfied: tiktoken==0.6.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from -r requirements.txt (line 19)) (0.6.0) Requirement already satisfied: optimum==1.17.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from -r requirements.txt (line 20)) (1.17.1) Requirement already satisfied: filelock in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from transformers==4.37.2->-r requirements.txt (line 1)) (3.9.0) Requirement already satisfied: numpy>=1.17 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from transformers==4.37.2->-r requirements.txt (line 1)) (1.26.1) Requirement already satisfied: packaging>=20.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from transformers==4.37.2->-r requirements.txt (line 1)) (23.1) Requirement already satisfied: pyyaml>=5.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from transformers==4.37.2->-r requirements.txt (line 1)) (6.0.1) Requirement already satisfied: regex!=2019.12.17 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from transformers==4.37.2->-r requirements.txt (line 1)) (2023.6.3) Requirement already satisfied: requests in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from transformers==4.37.2->-r requirements.txt (line 1)) (2.31.0) Requirement already satisfied: safetensors>=0.4.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from transformers==4.37.2->-r requirements.txt (line 1)) (0.4.2) Requirement already satisfied: tqdm>=4.27 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from transformers==4.37.2->-r requirements.txt (line 1)) (4.66.1) Requirement already satisfied: fsspec>=2023.5.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from huggingface-hub==0.21.3->-r requirements.txt (line 4)) (2023.6.0) Requirement already satisfied: typing-extensions>=3.7.4.3 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from huggingface-hub==0.21.3->-r requirements.txt (line 4)) (4.10.0) Requirement already satisfied: pyarrow>=8.0.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from datasets==2.14.7->-r requirements.txt (line 5)) (15.0.1) Requirement already satisfied: pyarrow-hotfix in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from datasets==2.14.7->-r requirements.txt (line 5)) (0.6) Requirement already satisfied: dill<0.3.8,>=0.3.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from datasets==2.14.7->-r requirements.txt (line 5)) (0.3.7) Requirement already satisfied: pandas in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from datasets==2.14.7->-r requirements.txt (line 5)) (2.1.0) Requirement already satisfied: xxhash in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from datasets==2.14.7->-r requirements.txt (line 5)) (3.4.1) Requirement already satisfied: multiprocess in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from datasets==2.14.7->-r requirements.txt (line 5)) (0.70.15) Requirement already satisfied: aiohttp in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from datasets==2.14.7->-r requirements.txt (line 5)) (3.8.5) Requirement already satisfied: aiofiles<24.0,>=22.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->-r requirements.txt (line 6)) (23.2.1) Requirement already satisfied: altair<6.0,>=4.2.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->-r requirements.txt (line 6)) (4.2.2) Requirement already satisfied: fastapi in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->-r requirements.txt (line 6)) (0.103.1) Requirement already satisfied: ffmpy in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->-r requirements.txt (line 6)) (0.3.1) Requirement already satisfied: importlib-resources<7.0,>=1.3 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->-r requirements.txt (line 6)) (6.0.1) Requirement already satisfied: jinja2<4.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->-r requirements.txt (line 6)) (3.1.2) Requirement already satisfied: markupsafe~=2.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->-r requirements.txt (line 6)) (2.1.2) Requirement already satisfied: matplotlib~=3.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->-r requirements.txt (line 6)) (3.7.2) Requirement already satisfied: orjson~=3.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->-r requirements.txt (line 6)) (3.9.7) Requirement already satisfied: pydub in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->-r requirements.txt (line 6)) (0.25.1) Requirement already satisfied: python-multipart>=0.0.9 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->-r requirements.txt (line 6)) (0.0.9) Requirement already satisfied: ruff>=0.2.2 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->-r requirements.txt (line 6)) (0.3.3) Requirement already satisfied: semantic-version~=2.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->-r requirements.txt (line 6)) (2.10.0) Requirement already satisfied: tomlkit==0.12.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->-r requirements.txt (line 6)) (0.12.0) Requirement already satisfied: typer<1.0,>=0.9 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from typer[all]<1.0,>=0.9->gradio==4.19.2->-r requirements.txt (line 6)) (0.9.0) Requirement already satisfied: uvicorn>=0.14.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio==4.19.2->-r requirements.txt (line 6)) (0.23.2) Requirement already satisfied: websockets<12.0,>=10.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from gradio_client==0.10.1->-r requirements.txt (line 7)) (11.0.3) Requirement already satisfied: psutil in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from peft==0.9.0->-r requirements.txt (line 8)) (5.9.6) Requirement already satisfied: torch>=1.13.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from peft==0.9.0->-r requirements.txt (line 8)) (2.2.0+cu118) Requirement already satisfied: accelerate>=0.21.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from peft==0.9.0->-r requirements.txt (line 8)) (0.27.2) Requirement already satisfied: certifi in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from httpx==0.24.1->-r requirements.txt (line 9)) (2023.11.17) Requirement already satisfied: httpcore<0.18.0,>=0.15.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from httpx==0.24.1->-r requirements.txt (line 9)) (0.17.3) Requirement already satisfied: idna in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from httpx==0.24.1->-r requirements.txt (line 9)) (3.4) Requirement already satisfied: sniffio in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from httpx==0.24.1->-r requirements.txt (line 9)) (1.3.0) Requirement already satisfied: torchvision in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from timm==0.9.16->-r requirements.txt (line 12)) (0.17.0+cu118) Requirement already satisfied: annotated-types>=0.4.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from pydantic==2.6.1->-r requirements.txt (line 13)) (0.5.0) Requirement already satisfied: pydantic-core==2.16.2 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from pydantic==2.6.1->-r requirements.txt (line 13)) (2.16.2) Requirement already satisfied: scipy>=1.3.2 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from scikit-learn==1.2.2->-r requirements.txt (line 15)) (1.11.2) Requirement already satisfied: joblib>=1.1.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from scikit-learn==1.2.2->-r requirements.txt (line 15)) (1.3.2) Requirement already satisfied: threadpoolctl>=2.0.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from scikit-learn==1.2.2->-r requirements.txt (line 15)) (3.2.0) Requirement already satisfied: coloredlogs in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from optimum==1.17.1->-r requirements.txt (line 20)) (15.0.1) Requirement already satisfied: sympy in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from optimum==1.17.1->-r requirements.txt (line 20)) (1.11.1) Requirement already satisfied: ftfy in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from open_clip_torch->-r requirements.txt (line 17)) (6.1.1) Requirement already satisfied: sentencepiece in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from open_clip_torch->-r requirements.txt (line 17)) (0.1.99) Requirement already satisfied: protobuf<4 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from open_clip_torch->-r requirements.txt (line 17)) (3.20.3) Requirement already satisfied: addict in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from modelscope->-r requirements.txt (line 18)) (2.4.0) Requirement already satisfied: attrs in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from modelscope->-r requirements.txt (line 18)) (23.1.0) Requirement already satisfied: gast>=0.2.2 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from modelscope->-r requirements.txt (line 18)) (0.4.0) Requirement already satisfied: oss2 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from modelscope->-r requirements.txt (line 18)) (2.18.4) Requirement already satisfied: python-dateutil>=2.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from modelscope->-r requirements.txt (line 18)) (2.8.2) Requirement already satisfied: setuptools in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from modelscope->-r requirements.txt (line 18)) (63.2.0) Requirement already satisfied: simplejson>=3.3.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from modelscope->-r requirements.txt (line 18)) (3.19.2) Requirement already satisfied: sortedcontainers>=1.5.9 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from modelscope->-r requirements.txt (line 18)) (2.4.0) Requirement already satisfied: urllib3>=1.26 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from modelscope->-r requirements.txt (line 18)) (1.26.16) Requirement already satisfied: yapf in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from modelscope->-r requirements.txt (line 18)) (0.40.1) Requirement already satisfied: entrypoints in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from altair<6.0,>=4.2.0->gradio==4.19.2->-r requirements.txt (line 6)) (0.4) Requirement already satisfied: jsonschema>=3.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from altair<6.0,>=4.2.0->gradio==4.19.2->-r requirements.txt (line 6)) (4.19.0) Requirement already satisfied: toolz in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from altair<6.0,>=4.2.0->gradio==4.19.2->-r requirements.txt (line 6)) (0.12.0) Requirement already satisfied: charset-normalizer<4.0,>=2.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from aiohttp->datasets==2.14.7->-r requirements.txt (line 5)) (3.1.0) Requirement already satisfied: multidict<7.0,>=4.5 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from aiohttp->datasets==2.14.7->-r requirements.txt (line 5)) (6.0.4) Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from aiohttp->datasets==2.14.7->-r requirements.txt (line 5)) (4.0.3) Requirement already satisfied: yarl<2.0,>=1.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from aiohttp->datasets==2.14.7->-r requirements.txt (line 5)) (1.9.2) Requirement already satisfied: frozenlist>=1.1.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from aiohttp->datasets==2.14.7->-r requirements.txt (line 5)) (1.4.0) Requirement already satisfied: aiosignal>=1.1.2 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from aiohttp->datasets==2.14.7->-r requirements.txt (line 5)) (1.3.1) Requirement already satisfied: h11<0.15,>=0.13 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from httpcore<0.18.0,>=0.15.0->httpx==0.24.1->-r requirements.txt (line 9)) (0.14.0) Requirement already satisfied: anyio<5.0,>=3.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from httpcore<0.18.0,>=0.15.0->httpx==0.24.1->-r requirements.txt (line 9)) (3.7.1) Requirement already satisfied: contourpy>=1.0.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from matplotlib~=3.0->gradio==4.19.2->-r requirements.txt (line 6)) (1.1.0) Requirement already satisfied: cycler>=0.10 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from matplotlib~=3.0->gradio==4.19.2->-r requirements.txt (line 6)) (0.11.0) Requirement already satisfied: fonttools>=4.22.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from matplotlib~=3.0->gradio==4.19.2->-r requirements.txt (line 6)) (4.42.1) Requirement already satisfied: kiwisolver>=1.0.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from matplotlib~=3.0->gradio==4.19.2->-r requirements.txt (line 6)) (1.4.5) Requirement already satisfied: pyparsing<3.1,>=2.3.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from matplotlib~=3.0->gradio==4.19.2->-r requirements.txt (line 6)) (3.0.9) Requirement already satisfied: pytz>=2020.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from pandas->datasets==2.14.7->-r requirements.txt (line 5)) (2023.3.post1) Requirement already satisfied: tzdata>=2022.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from pandas->datasets==2.14.7->-r requirements.txt (line 5)) (2023.3) Requirement already satisfied: six>=1.5 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from python-dateutil>=2.1->modelscope->-r requirements.txt (line 18)) (1.16.0) Requirement already satisfied: networkx in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from torch>=1.13.0->peft==0.9.0->-r requirements.txt (line 8)) (3.0) Requirement already satisfied: colorama in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from tqdm>=4.27->transformers==4.37.2->-r requirements.txt (line 1)) (0.4.6) Requirement already satisfied: click<9.0.0,>=7.1.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from typer<1.0,>=0.9->typer[all]<1.0,>=0.9->gradio==4.19.2->-r requirements.txt (line 6)) (8.1.6) Requirement already satisfied: shellingham<2.0.0,>=1.3.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from typer[all]<1.0,>=0.9->gradio==4.19.2->-r requirements.txt (line 6)) (1.5.4) Requirement already satisfied: rich<14.0.0,>=10.11.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from typer[all]<1.0,>=0.9->gradio==4.19.2->-r requirements.txt (line 6)) (13.4.1) Requirement already satisfied: humanfriendly>=9.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from coloredlogs->optimum==1.17.1->-r requirements.txt (line 20)) (10.0) Requirement already satisfied: starlette<0.28.0,>=0.27.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from fastapi->gradio==4.19.2->-r requirements.txt (line 6)) (0.27.0) Requirement already satisfied: wcwidth>=0.2.5 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from ftfy->open_clip_torch->-r requirements.txt (line 17)) (0.2.6) Requirement already satisfied: crcmod>=1.7 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from oss2->modelscope->-r requirements.txt (line 18)) (1.7) Requirement already satisfied: pycryptodome>=3.4.7 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from oss2->modelscope->-r requirements.txt (line 18)) (3.20.0) Requirement already satisfied: aliyun-python-sdk-kms>=2.4.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from oss2->modelscope->-r requirements.txt (line 18)) (2.16.2) Requirement already satisfied: aliyun-python-sdk-core>=2.13.12 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from oss2->modelscope->-r requirements.txt (line 18)) (2.15.0) Requirement already satisfied: mpmath>=0.19 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from sympy->optimum==1.17.1->-r requirements.txt (line 20)) (1.2.1) Requirement already satisfied: importlib-metadata>=6.6.0 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from yapf->modelscope->-r requirements.txt (line 18)) (6.8.0) Requirement already satisfied: platformdirs>=3.5.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from yapf->modelscope->-r requirements.txt (line 18)) (3.10.0) Requirement already satisfied: tomli>=2.0.1 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from yapf->modelscope->-r requirements.txt (line 18)) (2.0.1) Requirement already satisfied: jmespath<1.0.0,>=0.9.3 in c:\users\admin\appdata\local\programs\python\python310\lib\site-packages (from aliyun-python-sdk-core>=2.13.12->oss2->modelscope->-r requirements.txt (line 18)) (0.10.0) Requirement already satisfied: 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The system cannot find the path specified. 0 file(s) copied. Patching Gradio... The system cannot find the path specified. 0 file(s) copied.

All done!. Launch 'start.bat'. Press any key to continue . . .

elismasilva commented 6 months ago

From what I could see it seems that python is unable to recognize the path where the program folder is because your path has 'space' in the name try renaming your 'Stable diffusion' folder to 'Stable-diffusion', this is preventing it To access venv correctly, delete the image-interrogator directory and repeat the installation again by cloning and running install_windows.bat

BenDes21 commented 6 months ago

From what I could see it seems that python is unable to recognize the path where the program folder is because your path has 'space' in the name try renaming your 'Stable diffusion' folder to 'Stable-diffusion', this is preventing it To access venv correctly, delete the image-interrogator directory and repeat the installation again by cloning and running install_windows.bat

Thanks !!! it's working, I tested moondream 2 and it's work.

Im now trying cogvlm 4 bit ( it's supposed to use 10.8gb Vram and 11gb / 12 gb are available on my setup 0 but I get :

value_states = torch.cat([past_key_value[1], value_states], dim=2) torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 MiB. GPU 0 has a total capacity of 11.99 GiB of which 0 bytes is free. Of the allocated memory 11.02 GiB is allocated by PyTorch, and 164.12 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) Running with this settings...

Do you if they're is a setting to tweak for avoid this issue ? Thanks

elismasilva commented 6 months ago

if used clip model at same time its will use more vram at first run, then you can load clip with other low model and after it is downloaded you can try the same clip with cogvlm. Now, if you are using only caption model alone then you can try sugestion in log edit start.bat on notepad, at second line 'PYTORCH_CUDA_ALLOC_CONF=' include ,expandable_segments:True with comma separated at end of line in sequence the others param there, save .bat and try again. If it not solves check on taskmanager how much you video card memory as using on idle model it not be more than 0,8gb you need close all program process that use gpu before, i have only 8gb video card and it runs normally because i have 32gb gpu shared memory from mother board too. Disabla hardware acceleration from chrome and edge in advanced optiona because its runs on background, Spotify, outllok this is others program that use gpu too much. Let me know..

BenDes21 commented 6 months ago

'PYTORCH_CUDA_ALLOC_CONF=' include ,expandable_segments:Tru

Thanks a lot! 'PYTORCH_CUDA_ALLOC_CONF=' include ,expandable_segments:True working for me !

Perfect, do you know if its possible to generate the caption directly into the images folder ( instead of in the ouput folder )

Thanks again

elismasilva commented 6 months ago

'PYTORCH_CUDA_ALLOC_CONF=' include ,expandable_segments:True

Thanks a lot! 'PYTORCH_CUDA_ALLOC_CONF=' include ,expandable_segments:True working for me !

Perfect, do you know if its possible to generate the caption directly into the images folder ( instead of in the ouput folder )

Thanks again

For batching mode i think its possible in a new version, but for single image gradio dont provide for me original patch because it copy images to temp user folder. Open a feature request in Issues for i dont forget it

BenDes21 commented 6 months ago

'PYTORCH_CUDA_ALLOC_CONF=' include ,expandable_segments:Tru

Thanks a lot! 'PYTORCH_CUDA_ALLOC_CONF=' include ,expandable_segments:True working for me ! Perfect, do you know if its possible to generate the caption directly into the images folder ( instead of in the ouput folder ) Thanks again

For batching mode i think its possible in a new version, but for single image gradio dont provide for me original patch because it copy images to temp user folder. Open a feature request in Issues for i dont forget it

Thanks will do it :), one last thing, I got " Image size (135277032 pixels) exceeds limit of 89478485 pixels, could be decompression bomb DOS attack. " when I tried to batch process a folder, I guess images are too big so I modified the variable MAX_IMAGE_PIXELS to None but now Im getting :

_File "C:\Users\Admin\Documents\image-interrogator\image-interrogator.py", line 496, in batch_process image = Image.open(img_path).convert('RGB') File "C:\Users\Admin\Documents\image-interrogator\venv\lib\site-packages\PIL\Image.py", line 924, in convert self.load() File "C:\Users\Admin\Documents\image-interrogator\venv\lib\site-packages\PIL\ImageFile.py", line 238, in load self.load_prepare() File "C:\Users\Admin\Documents\image-interrogator\venv\lib\site-packages\PIL\ImageFile.py", line 317, in loadprepare self.im = Image.core.new(self.mode, self.size)

Do you know how to fix this issue ? Thanks :)

elismasilva commented 6 months ago

'PYTORCH_CUDA_ALLOC_CONF=' include ,expandable_segments:Tru

Thanks a lot! 'PYTORCH_CUDA_ALLOC_CONF=' include ,expandable_segments:True working for me ! Perfect, do you know if its possible to generate the caption directly into the images folder ( instead of in the ouput folder ) Thanks again

For batching mode i think its possible in a new version, but for single image gradio dont provide for me original patch because it copy images to temp user folder. Open a feature request in Issues for i dont forget it

Thanks will do it :), one last thing, I got " Image size (135277032 pixels) exceeds limit of 89478485 pixels, could be decompression bomb DOS attack. " when I tried to batch process a folder, I guess images are too big so I modified the variable MAX_IMAGE_PIXELS to None but now Im getting :

_File "C:\Users\Admin\Documents\image-interrogator\image-interrogator.py", line 496, in batch_process image = Image.open(img_path).convert('RGB') File "C:\Users\Admin\Documents\image-interrogator\venv\lib\site-packages\PIL\Image.py", line 924, in convert self.load() File "C:\Users\Admin\Documents\image-interrogator\venv\lib\site-packages\PIL\ImageFile.py", line 238, in load self.load_prepare() File "C:\Users\Admin\Documents\image-interrogator\venv\lib\site-packages\PIL\ImageFile.py", line 317, in loadprepare self.im = Image.core.new(self.mode, self.size)

Do you know how to fix this issue ? Thanks :)

good question, I haven't tested with such large images, in fact I don't know if the models are suitable for large images, I think each one may also have a limitation, but this limitation is the image component of the gradio, I will need to investigate.

BenDes21 commented 6 months ago

'PYTORCH_CUDA_ALLOC_CONF=' include ,expandable_segments:Tru

Thanks a lot! 'PYTORCH_CUDA_ALLOC_CONF=' include ,expandable_segments:True working for me ! Perfect, do you know if its possible to generate the caption directly into the images folder ( instead of in the ouput folder ) Thanks again

For batching mode i think its possible in a new version, but for single image gradio dont provide for me original patch because it copy images to temp user folder. Open a feature request in Issues for i dont forget it

Thanks will do it :), one last thing, I got " Image size (135277032 pixels) exceeds limit of 89478485 pixels, could be decompression bomb DOS attack. " when I tried to batch process a folder, I guess images are too big so I modified the variable MAX_IMAGE_PIXELS to None but now Im getting : _File "C:\Users\Admin\Documents\image-interrogator\image-interrogator.py", line 496, in batch_process image = Image.open(img_path).convert('RGB') File "C:\Users\Admin\Documents\image-interrogator\venv\lib\site-packages\PIL\Image.py", line 924, in convert self.load() File "C:\Users\Admin\Documents\image-interrogator\venv\lib\site-packages\PIL\ImageFile.py", line 238, in load self.load_prepare() File "C:\Users\Admin\Documents\image-interrogator\venv\lib\site-packages\PIL\ImageFile.py", line 317, in loadprepare self.im = Image.core.new(self.mode, self.size) Do you know how to fix this issue ? Thanks :)

good question, I haven't tested with such large images, in fact I don't know if the models are suitable for large images, I think each one may also have a limitation, but this limitation is the image component of the gradio, I will need to investigate.

Ok I just did a test with only one image ( big size / resolution ) and its worked so the problem is that the script not handle big batch processing ( my folder contain 5000 images ), if you have any solution for that let me know :P ( I cannot split the folder in different part because I have 11 more folders with the same amount of images )

elismasilva commented 6 months ago

'PYTORCH_CUDA_ALLOC_CONF=' include ,expandable_segments:Tru

Thanks a lot! 'PYTORCH_CUDA_ALLOC_CONF=' include ,expandable_segments:True working for me ! Perfect, do you know if its possible to generate the caption directly into the images folder ( instead of in the ouput folder ) Thanks again

For batching mode i think its possible in a new version, but for single image gradio dont provide for me original patch because it copy images to temp user folder. Open a feature request in Issues for i dont forget it

Thanks will do it :), one last thing, I got " Image size (135277032 pixels) exceeds limit of 89478485 pixels, could be decompression bomb DOS attack. " when I tried to batch process a folder, I guess images are too big so I modified the variable MAX_IMAGE_PIXELS to None but now Im getting : _File "C:\Users\Admin\Documents\image-interrogator\image-interrogator.py", line 496, in batch_process image = Image.open(img_path).convert('RGB') File "C:\Users\Admin\Documents\image-interrogator\venv\lib\site-packages\PIL\Image.py", line 924, in convert self.load() File "C:\Users\Admin\Documents\image-interrogator\venv\lib\site-packages\PIL\ImageFile.py", line 238, in load self.load_prepare() File "C:\Users\Admin\Documents\image-interrogator\venv\lib\site-packages\PIL\ImageFile.py", line 317, in loadprepare self.im = Image.core.new(self.mode, self.size) Do you know how to fix this issue ? Thanks :)

good question, I haven't tested with such large images, in fact I don't know if the models are suitable for large images, I think each one may also have a limitation, but this limitation is the image component of the gradio, I will need to investigate.

Ok I just did a test with only one image ( big size / resolution ) and its worked so the problem is that the script not handle big batch processing ( my folder contain 5000 images ), if you have any solution for that let me know :P ( I cannot split the folder in different part because I have 11 more folders with the same amount of images )

its is very strange because script handle batch in 8 images per once. Now if you use big images i think the vram consuption will be high, maybe is better make a resize image before to 1024x1024 e.g and generate captions. If it is usefull can be anoyher feature to automatically resize before caption.

elismasilva commented 6 months ago

'PYTORCH_CUDA_ALLOC_CONF=' include ,expandable_segments:Tru

Thanks a lot! 'PYTORCH_CUDA_ALLOC_CONF=' include ,expandable_segments:True working for me ! Perfect, do you know if its possible to generate the caption directly into the images folder ( instead of in the ouput folder ) Thanks again

For batching mode i think its possible in a new version, but for single image gradio dont provide for me original patch because it copy images to temp user folder. Open a feature request in Issues for i dont forget it

Thanks will do it :), one last thing, I got " Image size (135277032 pixels) exceeds limit of 89478485 pixels, could be decompression bomb DOS attack. " when I tried to batch process a folder, I guess images are too big so I modified the variable MAX_IMAGE_PIXELS to None but now Im getting : _File "C:\Users\Admin\Documents\image-interrogator\image-interrogator.py", line 496, in batch_process image = Image.open(img_path).convert('RGB') File "C:\Users\Admin\Documents\image-interrogator\venv\lib\site-packages\PIL\Image.py", line 924, in convert self.load() File "C:\Users\Admin\Documents\image-interrogator\venv\lib\site-packages\PIL\ImageFile.py", line 238, in load self.load_prepare() File "C:\Users\Admin\Documents\image-interrogator\venv\lib\site-packages\PIL\ImageFile.py", line 317, in loadprepare self.im = Image.core.new(self.mode, self.size) Do you know how to fix this issue ? Thanks :)

good question, I haven't tested with such large images, in fact I don't know if the models are suitable for large images, I think each one may also have a limitation, but this limitation is the image component of the gradio, I will need to investigate.

Ok I just did a test with only one image ( big size / resolution ) and its worked so the problem is that the script not handle big batch processing ( my folder contain 5000 images ), if you have any solution for that let me know :P ( I cannot split the folder in different part because I have 11 more folders with the same amount of images )

tell me what models you are testing for i reproduce on my side with tests

BenDes21 commented 6 months ago

'PYTORCH_CUDA_ALLOC_CONF=' include ,expandable_segments:Tru

Thanks a lot! 'PYTORCH_CUDA_ALLOC_CONF=' include ,expandable_segments:True working for me ! Perfect, do you know if its possible to generate the caption directly into the images folder ( instead of in the ouput folder ) Thanks again

For batching mode i think its possible in a new version, but for single image gradio dont provide for me original patch because it copy images to temp user folder. Open a feature request in Issues for i dont forget it

Thanks will do it :), one last thing, I got " Image size (135277032 pixels) exceeds limit of 89478485 pixels, could be decompression bomb DOS attack. " when I tried to batch process a folder, I guess images are too big so I modified the variable MAX_IMAGE_PIXELS to None but now Im getting : _File "C:\Users\Admin\Documents\image-interrogator\image-interrogator.py", line 496, in batch_process image = Image.open(img_path).convert('RGB') File "C:\Users\Admin\Documents\image-interrogator\venv\lib\site-packages\PIL\Image.py", line 924, in convert self.load() File "C:\Users\Admin\Documents\image-interrogator\venv\lib\site-packages\PIL\ImageFile.py", line 238, in load self.load_prepare() File "C:\Users\Admin\Documents\image-interrogator\venv\lib\site-packages\PIL\ImageFile.py", line 317, in loadprepare self.im = Image.core.new(self.mode, self.size) Do you know how to fix this issue ? Thanks :)

good question, I haven't tested with such large images, in fact I don't know if the models are suitable for large images, I think each one may also have a limitation, but this limitation is the image component of the gradio, I will need to investigate.

Ok I just did a test with only one image ( big size / resolution ) and its worked so the problem is that the script not handle big batch processing ( my folder contain 5000 images ), if you have any solution for that let me know :P ( I cannot split the folder in different part because I have 11 more folders with the same amount of images )

tell me what models you are testing for i reproduce on my side with tests

cogagent-vqa-hf 4 bits with single image ( resolution 6000x6000+ ) working but on a folder of 5000 images I got the errors showed

elismasilva commented 6 months ago

'PYTORCH_CUDA_ALLOC_CONF=' include ,expandable_segments:Tru

Thanks a lot! 'PYTORCH_CUDA_ALLOC_CONF=' include ,expandable_segments:True working for me ! Perfect, do you know if its possible to generate the caption directly into the images folder ( instead of in the ouput folder ) Thanks again

For batching mode i think its possible in a new version, but for single image gradio dont provide for me original patch because it copy images to temp user folder. Open a feature request in Issues for i dont forget it

Thanks will do it :), one last thing, I got " Image size (135277032 pixels) exceeds limit of 89478485 pixels, could be decompression bomb DOS attack. " when I tried to batch process a folder, I guess images are too big so I modified the variable MAX_IMAGE_PIXELS to None but now Im getting : _File "C:\Users\Admin\Documents\image-interrogator\image-interrogator.py", line 496, in batch_process image = Image.open(img_path).convert('RGB') File "C:\Users\Admin\Documents\image-interrogator\venv\lib\site-packages\PIL\Image.py", line 924, in convert self.load() File "C:\Users\Admin\Documents\image-interrogator\venv\lib\site-packages\PIL\ImageFile.py", line 238, in load self.load_prepare() File "C:\Users\Admin\Documents\image-interrogator\venv\lib\site-packages\PIL\ImageFile.py", line 317, in loadprepare self.im = Image.core.new(self.mode, self.size) Do you know how to fix this issue ? Thanks :)

good question, I haven't tested with such large images, in fact I don't know if the models are suitable for large images, I think each one may also have a limitation, but this limitation is the image component of the gradio, I will need to investigate.

Ok I just did a test with only one image ( big size / resolution ) and its worked so the problem is that the script not handle big batch processing ( my folder contain 5000 images ), if you have any solution for that let me know :P ( I cannot split the folder in different part because I have 11 more folders with the same amount of images )

tell me what models you are testing for i reproduce on my side with tests

cogagent-vqa-hf 4 bits with single image ( resolution 6000x6000+ ) working but on a folder of 5000 images I got the errors showed

I dont have images with this resolution, but i have 4k images about 5000x5000 and i got memory error because it uses 64gb+ more to load in memory before do batching caption.

I think I will have to make some adjustments like:

elismasilva commented 6 months ago

I don't have time right now to make these adjustments, but I will as soon as possible. What you can try now to get around this situation is to create folders with fewer images around 500 or 1k to test. If you have a problem with resolution, then resize the images to a smaller size before creating the caption, keeping the same name after you capture the txt files and place them in the image's original folder

BenDes21 commented 6 months ago

I don't have time right now to make these adjustments, but I will as soon as possible. What you can try now to get around this situation is to create folders with fewer images around 500 or 1k to test. If you have a problem with resolution, then resize the images to a smaller size before creating the caption, keeping the same name after you capture the txt files and place them in the image's original folder

thanks, your first point ( Do not load them all into memory beforehand, but only load them at the time of the batch when it is running every 8, this will save memory. ) is the main issue, captioning a single ultra HD image work correctly. I tried to lower from 5000 images to 1000 but the problem still appear. Im gonna use taggui for the captionning, let us know for the fix :) Thanks

elismasilva commented 6 months ago

I don't have time right now to make these adjustments, but I will as soon as possible. What you can try now to get around this situation is to create folders with fewer images around 500 or 1k to test. If you have a problem with resolution, then resize the images to a smaller size before creating the caption, keeping the same name after you capture the txt files and place them in the image's original folder

thanks, your first point ( Do not load them all into memory beforehand, but only load them at the time of the batch when it is running every 8, this will save memory. ) is the main issue, captioning a single ultra HD image work correctly. I tried to lower from 5000 images to 1000 but the problem still appear. Im gonna use taggui for the captionning, let us know for the fix :) Thanks

ive tested Cogvlm for 8 images and it is very slow to return caption, i resized to 512x512 and nothing changed in speedy then i think image change dont matter. Then i tested it on taggui and Cogvlm run slow there too.

elismasilva commented 6 months ago

I don't have time right now to make these adjustments, but I will as soon as possible. What you can try now to get around this situation is to create folders with fewer images around 500 or 1k to test. If you have a problem with resolution, then resize the images to a smaller size before creating the caption, keeping the same name after you capture the txt files and place them in the image's original folder

thanks, your first point ( Do not load them all into memory beforehand, but only load them at the time of the batch when it is running every 8, this will save memory. ) is the main issue, captioning a single ultra HD image work correctly. I tried to lower from 5000 images to 1000 but the problem still appear. Im gonna use taggui for the captionning, let us know for the fix :) Thanks

i have made fixes to reduce load batching now, and added option to save caption in original path. In any case, CogVLM on a video card with less than 12GB should run very slowly if you start using shared memory.

Do git checkout dev in your image-interrogator folder, maybe you will need do git stash before git checkout.

On interface you will find option "Generate caption in the original path instead of the output folder" its works only for batch mode, in single file its on output folder. Let me know ...

BenDes21 commented 6 months ago

I don't have time right now to make these adjustments, but I will as soon as possible. What you can try now to get around this situation is to create folders with fewer images around 500 or 1k to test. If you have a problem with resolution, then resize the images to a smaller size before creating the caption, keeping the same name after you capture the txt files and place them in the image's original folder

thanks, your first point ( Do not load them all into memory beforehand, but only load them at the time of the batch when it is running every 8, this will save memory. ) is the main issue, captioning a single ultra HD image work correctly. I tried to lower from 5000 images to 1000 but the problem still appear. Im gonna use taggui for the captionning, let us know for the fix :) Thanks

i have made fixes to reduce load batching now, and added option to save caption in original path. In any case, CogVLM on a video card with less than 12GB should run very slowly if you start using shared memory.

Do git checkout dev in your image-interrogator folder, maybe you will need do git stash before git checkout.

On interface you will find option "Generate caption in the original path instead of the output folder" its works only for batch mode, in single file its on output folder. Let me know ...

Thanks a lot, gonna try today and will let you know. Thanks again for you time

BenDes21 commented 6 months ago

I don't have time right now to make these adjustments, but I will as soon as possible. What you can try now to get around this situation is to create folders with fewer images around 500 or 1k to test. If you have a problem with resolution, then resize the images to a smaller size before creating the caption, keeping the same name after you capture the txt files and place them in the image's original folder

thanks, your first point ( Do not load them all into memory beforehand, but only load them at the time of the batch when it is running every 8, this will save memory. ) is the main issue, captioning a single ultra HD image work correctly. I tried to lower from 5000 images to 1000 but the problem still appear. Im gonna use taggui for the captionning, let us know for the fix :) Thanks

i have made fixes to reduce load batching now, and added option to save caption in original path. In any case, CogVLM on a video card with less than 12GB should run very slowly if you start using shared memory.

Do git checkout dev in your image-interrogator folder, maybe you will need do git stash before git checkout.

On interface you will find option "Generate caption in the original path instead of the output folder" its works only for batch mode, in single file its on output folder. Let me know ...

Hi, it's seems to work now thanks you ! Also the new feature is very useful

elismasilva commented 6 months ago

I don't have time right now to make these adjustments, but I will as soon as possible. What you can try now to get around this situation is to create folders with fewer images around 500 or 1k to test. If you have a problem with resolution, then resize the images to a smaller size before creating the caption, keeping the same name after you capture the txt files and place them in the image's original folder

thanks, your first point ( Do not load them all into memory beforehand, but only load them at the time of the batch when it is running every 8, this will save memory. ) is the main issue, captioning a single ultra HD image work correctly. I tried to lower from 5000 images to 1000 but the problem still appear. Im gonna use taggui for the captionning, let us know for the fix :) Thanks

i have made fixes to reduce load batching now, and added option to save caption in original path. In any case, CogVLM on a video card with less than 12GB should run very slowly if you start using shared memory. Do git checkout dev in your image-interrogator folder, maybe you will need do git stash before git checkout. On interface you will find option "Generate caption in the original path instead of the output folder" its works only for batch mode, in single file its on output folder. Let me know ...

Hi, it's seems to work now thanks you ! Also the new feature is very useful

Ok for now stay in the dev branch of the repository, when I release the new version with these changes you go back to the master branch with git checkout master. I will close this topic if you have any problem, you open a new one, thanks!