cosmiconions
commented
2 months ago Heya there guys! I seem to be having a similar issue, if it's too different, I can make a new post with the info, but I figured it would be similar enough to post here. After updating and attempting to download and use the flux nf4 model, sdnext gives me an error that the "Repo ID must be in the form 'repo_name' or 'namespace/repo_name'. I'm unsure why it's throwing this error, as all the other models also located in the same directory are working as usual. The error on my end also doesn't progress to loading the pipelines.
DeeH0pe
Drakkainen2
jicka
vladmandic
SAC020
waynoedm
Disty0
Issue Description
After finishing downloading the reference model through the side panel, I get the following error:
09:17:05-328265 ERROR Error running pip: install --upgrade optimum-quanto 09:17:05-343855 ERROR FLUX: Failed to import optimum-quanto: cannot import name 'quanto' from 'optimum' (unknown location) 09:17:05-343855 ERROR Diffusers Failed loading model: models\Diffusers\models--Disty0--FLUX.1-dev-qint4\snapshots\82811df42b556a1153b971d8375d5170c306a6eb cannot import name 'quanto' from 'optimum' (unknown location)
Version Platform Description
Running Windows 10, Intel Arc A770, SD.Next 8/31/2024 release (current as of 9/1/2024).
Using VENV: C:\AI\automatic\venv 09:27:47-872398 INFO Starting SD.Next 09:27:47-872398 INFO Logger: file="C:\AI\automatic\sdnext.log" level=INFO size=42547 mode=append 09:27:47-888023 INFO Python version=3.10.11 platform=Windows bin="C:\AI\automatic\venv\Scripts\python.exe" venv="C:\AI\automatic\venv" 09:27:48-044126 INFO Version: app=sd.next updated=2024-08-31 hash=bab17a0b branch=master url=https://github.com/vladmandic/automatic.git/tree/master ui=main 09:27:48-544429 INFO Platform: arch=AMD64 cpu=Intel64 Family 6 Model 165 Stepping 3, GenuineIntel system=Windows release=Windows-10-10.0.19045-SP0 python=3.10.11 09:27:48-544429 INFO HF cache folder: C:\Users\Wayne.cache\huggingface\hub 09:27:48-559931 INFO Python version=3.10.11 platform=Windows bin="C:\AI\automatic\venv\Scripts\python.exe" venv="C:\AI\automatic\venv" 09:27:48-575556 INFO Intel OneAPI Toolkit detected 09:27:48-716066 INFO Verifying requirements 09:27:48-716066 INFO Verifying packages 09:27:48-762901 INFO Extensions: disabled=[] 09:27:48-762901 INFO Extensions: enabled=['Lora', 'sd-extension-chainner', 'sd-extension-system-info', 'sd-webui-agent-scheduler', 'sdnext-modernui', 'stable-diffusion-webui-rembg'] extensions-builtin 09:27:48-778524 INFO Extensions: enabled=[] extensions 09:27:48-778524 INFO Startup: standard 09:27:48-778524 INFO Verifying submodules 09:27:53-231678 INFO Extensions enabled: ['Lora', 'sd-extension-chainner', 'sd-extension-system-info', 'sd-webui-agent-scheduler', 'sdnext-modernui', 'stable-diffusion-webui-rembg'] 09:27:53-231678 INFO Verifying requirements 09:27:53-231678 INFO Command line args: [] 09:28:05-434749 INFO Load packages: {'torch': '2.4.0+cpu', 'diffusers': '0.30.2', 'gradio': '3.43.2'} 09:28:06-451450 INFO Engine: backend=Backend.DIFFUSERS compute=cpu device=cpu attention="Scaled-Dot-Product" mode=no_grad 09:28:06-467045 INFO Device: 09:28:07-247715 INFO Available VAEs: path="models\VAE" items=0 09:28:07-247715 INFO Disabled extensions: ['sdnext-modernui'] 09:28:07-247715 INFO Available models: path="models\Stable-diffusion" items=1 time=0.00 09:28:07-356792 INFO Extension: script='extensions-builtin\Lora\scripts\lora_script.py' 09:28:07-356792 INFO LoRA networks: available=0 folders=2 09:28:07-950431 INFO Extension: script='extensions-builtin\sd-webui-agent-scheduler\scripts\task_scheduler.py' Using sqlite file: extensions-builtin\sd-webui-agent-scheduler\task_scheduler.sqlite3 09:28:07-997352 INFO UI theme: type=Standard name="black-teal" 09:28:09-139004 INFO Extension list is empty: refresh required 09:28:10-052875 INFO Local URL: http://127.0.0.1:7860/ INFO:nncf:NNCF initialized successfully. Supported frameworks detected: torch, onnx, openvino 09:28:11-436804 INFO [AgentScheduler] Task queue is empty 09:28:11-439791 INFO [AgentScheduler] Registering APIs 09:28:11-578644 INFO Setting Torch parameters: device=cpu dtype=torch.float16 vae=torch.float16 unet=torch.float16 context=nograd fp16=True bf16=None optimization=Scaled-Dot-Product 09:28:11-582634 INFO Select: model="Diffusers\Disty0/FLUX.1-dev-qint4 [82811df42b]" 09:28:11-584629 INFO Autodetect: model="FLUX" class=FluxPipeline file="models\Diffusers\models--Disty0--FLUX.1-dev-qint4\snapshots\82811df42b556a1153b971d8375d5170c306a6eb" size=0MB 09:28:11-588619 INFO Install: package="optimum-quanto" mode=pip Loading pipeline components... 100% --------------------------------------------------------------------------------------------------------------------------------------------------------------------- 5/5 [ 0:00:01 < 0:00:00 , 6 C/s ] 09:28:16-436474 ERROR Diffusers Failed loading model: models\Diffusers\models--Disty0--FLUX.1-dev-qint4\snapshots\82811df42b556a1153b971d8375d5170c306a6eb Repo id must use alphanumeric chars or '-', '', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: 'Diffusers\Disty0/FLUX.1-dev-qint4'. 09:28:16-452094 INFO Startup time: 23.22 torch=10.92 gradio=0.87 diffusers=0.41 libraries=1.77 extensions=0.66 face-restore=0.06 ui-en=0.17 ui-txt2img=0.08 ui-img2img=0.09 ui-control=0.16 ui-models=0.24 ui-settings=0.30 ui-extensions=0.50 ui-defaults=0.06 launch=0.37 api=0.11 app-started=1.41 checkpoint=4.88
Relevant log output
Backend
Diffusers
UI
Standard
Branch
Master
Model
Other
Acknowledgements