SO SAD!! Everything is ok except i get CUDA ERROR right after setup!

[LIQUIDMIND111]

IS THIS able to run on a 6 GB VRAM??? RTX 2060 ? is there a code for LOW V RAM???

[sascharo]

What's the exact error message?

[gsgoldma]

I have the same issue with 6gb of ram

(dsd) PS D:\deforumstablediffusionlocal> python run.py --enable_animation_mode --settings "./examples/runSettings_Animation.txt" Local Path Variables:

models_path: ./models output_path: ./output Using config: ./stable-diffusion/configs/stable-diffusion/v1-inference.yaml ./models\sd-v1-4.ckpt exists

...checking sha256 hash is correct

Using ckpt: ./models\sd-v1-4.ckpt Loading model from ./models\sd-v1-4.ckpt Global Step: 470000 LatentDiffusion: Running in eps-prediction mode DiffusionWrapper has 859.52 M params. making attention of type 'vanilla' with 512 in_channels Working with z of shape (1, 4, 32, 32) = 4096 dimensions. making attention of type 'vanilla' with 512 in_channels Some weights of the model checkpoint at openai/clip-vit-large-patch14 were not used when initializing CLIPTextModel: ['vision_model.encoder.layers.20.mlp.fc1.weight', 'vision_model.encoder.layers.15.layer_norm2.weight', 'vision_model.encoder.layers.11.mlp.fc2.bias', 'vision_model.encoder.layers.1.mlp.fc1.bias', 'vision_model.encoder.layers.5.self_attn.k_proj.weight', 'vision_model.embeddings.patch_embedding.weight', 'vision_model.encoder.layers.13.self_attn.v_proj.weight', 'vision_model.encoder.layers.13.layer_norm2.bias', 'vision_model.encoder.layers.23.layer_norm2.weight', 'vision_model.encoder.layers.23.self_attn.q_proj.weight', 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• This IS expected if you are initializing CLIPTextModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
• This IS NOT expected if you are initializing CLIPTextModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). Traceback (most recent call last): File "run.py", line 1312, in main() File "run.py", line 592, in main model = load_model_from_config(local_config, f"{ckpt_path}", half_precision=half_precision) File "run.py", line 584, in load_model_from_config model = model.half().to(device) File "D:\Miniconda3\envs\dsd\lib\site-packages\pytorch_lightning\core\mixins\device_dtype_mixin.py", line 113, in to return super().to(*args, **kwargs) File "D:\Miniconda3\envs\dsd\lib\site-packages\torch\nn\modules\module.py", line 927, in to return self._apply(convert) File "D:\Miniconda3\envs\dsd\lib\site-packages\torch\nn\modules\module.py", line 579, in _apply module._apply(fn) File "D:\Miniconda3\envs\dsd\lib\site-packages\torch\nn\modules\module.py", line 579, in _apply module._apply(fn) File "D:\Miniconda3\envs\dsd\lib\site-packages\torch\nn\modules\module.py", line 579, in _apply module._apply(fn) [Previous line repeated 4 more times] File "D:\Miniconda3\envs\dsd\lib\site-packages\torch\nn\modules\module.py", line 602, in _apply param_applied = fn(param) File "D:\Miniconda3\envs\dsd\lib\site-packages\torch\nn\modules\module.py", line 925, in convert return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking) RuntimeError: CUDA out of memory. Tried to allocate 44.00 MiB (GPU 0; 6.00 GiB total capacity; 5.26 GiB already allocated; 0 bytes free; 5.41 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF

[Postconceptlab]

hello i have the same error on a 6 GB 3060 laptop graphic card , so i saw that should be fixed in stable diffusion by using this command PYTORCH_CUDA_ALLOC_CONF=garbage_collection_threshold:0.6,max_split_size_mb:128 and then using --n_samples 1 so i tried to add "n_samples":1, in the runsettings_templates.txt file but nothing as changed i don't know if i done is right any more help ?

[LIQUIDMIND111]

You were just off for 40 MB? Lol. They mentioned the issue was resolved but I actually using ckpt files from another Google collab.

On Sat, Oct 8, 2022, 6:26 AM Postconceptlab @.***> wrote:

hello i have the same error on a 6 GB 3060 laptop graphic card , so i saw that should be fixed in stable diffusion by using this command PYTORCH_CUDA_ALLOC_CONF=garbage_collection_threshold:0.6,max_split_size_mb:128 and then using --n_samples 1 so i tried to add "n_samples":1, in the runsettings_templates.txt file but nothing as changed i don't know if i done is right any more help ?

— Reply to this email directly, view it on GitHub https://github.com/HelixNGC7293/DeforumStableDiffusionLocal/issues/7#issuecomment-1272287598, or unsubscribe https://github.com/notifications/unsubscribe-auth/A22MJBDB7KW57BKOIT72HWLWCFD4FANCNFSM6AAAAAAQOR443M . You are receiving this because you authored the thread.Message ID: @.***>

[Postconceptlab]

can you explain to me what to do ?please ?

[Postconceptlab]

does it come from th e model ?

[Postconceptlab]

i try something elese recreate a conda env on python 3.10.6 its quite long to run the setup.py

[Postconceptlab]

RuntimeError: CUDA out of memory. Tried to allocate 26.00 MiB (GPU 0; 5.81 GiB total capacity; 4.54 GiB already allocated; 8.75 MiB free; 4.65 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF still same error with a new environement conda with python 3.10.6

[Postconceptlab]

i have fixed part of this problem by changing in run.py where the model is load by changing CUDA to CPU , other i have change 3D to 2D in the .Txt , so the model is loaded in cpu , and it doenst work with 3D but 2D i can generate some 512X512 images , still have a problem with ffmpeg that not generate de movie but i don't really mind i make it manually

i have this message error

<PIL.Image.Image image mode=RGB size=512x512 at 0x7F8CE764C5B0> ./output/out%05d.png -> ./output/out%05d.mp4 b"ffmpeg version 4.2.2 Copyright (c) 2000-2019 the FFmpeg developers\n built with gcc 7.3.0 (crosstool-NG 1.23.0.449-a04d0)\n configuration: --prefix=/home/postconceptlab/miniconda3/envs/vdsd --cc=/tmp/build/80754af9/ffmpeg_1587154242452/_build_env/bin/x86_64-conda_cos6-linux-gnu-cc --disable-doc --enable-avresample --enable-gmp --enable-hardcoded-tables --enable-libfreetype --enable-libvpx --enable-pthreads --enable-libopus --enable-postproc --enable-pic --enable-pthreads --enable-shared --enable-static --enable-version3 --enable-zlib --enable-libmp3lame --disable-nonfree --enable-gpl --enable-gnutls --disable-openssl --enable-libopenh264 --enable-libx264\n libavutil 56. 31.100 / 56. 31.100\n libavcodec 58. 54.100 / 58. 54.100\n libavformat 58. 29.100 / 58. 29.100\n libavdevice 58. 8.100 / 58. 8.100\n libavfilter 7. 57.100 / 7. 57.100\n libavresample 4. 0. 0 / 4. 0. 0\n libswscale 5. 5.100 / 5. 5.100\n libswresample 3. 5.100 / 3. 5.100\n libpostproc 55. 5.100 / 55. 5.100\nHyper fast Audio and Video encoder\nusage: ffmpeg [options] [[infile options] -i infile]... {[outfile options] outfile}...\n\nUse -h to get full help or, even better, run 'man ffmpeg'\n" Traceback (most recent call last): File "/home/postconceptlab/dsd/run_2.py", line 1312, in main() File "/home/postconceptlab/dsd/run_2.py", line 1304, in main raise RuntimeError(stderr) RuntimeError: b"ffmpeg version 4.2.2 Copyright (c) 2000-2019 the FFmpeg developers\n built with gcc 7.3.0 (crosstool-NG 1.23.0.449-a04d0)\n configuration: --prefix=/home/postconceptlab/miniconda3/envs/vdsd --cc=/tmp/build/80754af9/ffmpeg_1587154242452/_build_env/bin/x86_64-conda_cos6-linux-gnu-cc --disable-doc --enable-avresample --enable-gmp --enable-hardcoded-tables --enable-libfreetype --enable-libvpx --enable-pthreads --enable-libopus --enable-postproc --enable-pic --enable-pthreads --enable-shared --enable-static --enable-version3 --enable-zlib --enable-libmp3lame --disable-nonfree --enable-gpl --enable-gnutls --disable-openssl --enable-libopenh264 --enable-libx264\n libavutil 56. 31.100 / 56. 31.100\n libavcodec 58. 54.100 / 58. 54.100\n libavformat 58. 29.100 / 58. 29.100\n libavdevice 58. 8.100 / 58. 8.100\n libavfilter 7. 57.100 / 7. 57.100\n libavresample 4. 0. 0 / 4. 0. 0\n libswscale 5. 5.100 / 5. 5.100\n libswresample 3. 5.100 / 3. 5.100\n libpostproc 55. 5.100 / 55. 5.100\nHyper fast Audio and Video encoder\nusage: ffmpeg [options] [[infile options] -i infile]... {[outfile options] outfile}...\n\nUse -h to get full help or, even better, run 'man ffmpeg'\n"