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Published 20 hours ago • verified publisher icon comfyanonymous

Generating an example for Stable Cascade (the Bottle) results in very rough "outlines" of the Bottle

Open jk779 opened this issue 3 months ago • 12 comments

Im pretty sure i've used the right models, from https://huggingface.co/stabilityai/stable-cascade/tree/main/comfyui_checkpoints

I've simply run the (untouched) workflow from the Image and that's what i'm getting:

Bildschirmfoto 2024-03-31 um 16 13 08

BTW I' using a M3 Max Mac, on which I installed Comfyui per this readme including apples pytorch "tutoriual". I'm also starting the server with --force-fp16 as per instruction.

SCR-20240331-oihq

Maybe someone can nugde me in the right direction? :) I've prevously used InvokeAI wich I havent got these issues 🤔

PS: A simmilar Issue occurs when I try to create an SD-XL image (but here the output just looks like a "cloudy sky"?, but maybe thats another issue or i'ts resolved when I resolve this Issues problem)

jk779 avatar Mar 31 '24 14:03 jk779

what happens if you don't put "--force-fp16" ?

comfyanonymous avatar Mar 31 '24 15:03 comfyanonymous

it seems to not make any differnce unfortunately :/

venv/bin/python main.py
Total VRAM 65536 MB, total RAM 65536 MB
Set vram state to: SHARED
Device: mps
VAE dtype: torch.float32
Using sub quadratic optimization for cross attention, if you have memory or speed issues try using: --use-split-cross-attention

Import times for custom nodes:
   0.0 seconds: /Users/michael/Projects/ai/ComfyUI/custom_nodes/websocket_image_save.py

Starting server

To see the GUI go to: http://127.0.0.1:8188
got prompt
model_type STABLE_CASCADE
clip missing: ['clip_g.logit_scale']
model_type STABLE_CASCADE
Missing VAE keys ['encoder.mean', 'encoder.std']
clip missing: ['clip_g.logit_scale']
Requested to load StableCascadeClipModel
Loading 1 new model
Requested to load StableCascade_C
Loading 1 new model
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:38<00:00,  1.92s/it]
Requested to load StableCascade_B
Loading 1 new model
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:25<00:00,  2.51s/it]
Requested to load StageA
Loading 1 new model
Prompt executed in 86.38 seconds

Bildschirmfoto 2024-03-31 um 18 36 03

jk779 avatar Mar 31 '24 16:03 jk779

a slimilar image appears when not using the pre-version (2.4.0-pre) of pytorch, but the current one (2.2.2): Bildschirmfoto 2024-03-31 um 18 56 31

I did a seemingly full reinstall

~/Projects/ai/ComfyUI master*
rm -rf venv

~/Projects/ai/ComfyUI master*
❯ python3 -m venv venv

~/Projects/ai/ComfyUI master*
❯ source venv/bin/activate

~/Projects/ai/ComfyUI master*
venv ❯ venv/bin/pip --require-virtualenv --python venv/bin/python --no-cache-dir install -r requirements.txt
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Installing collected packages: trampoline, mpmath, urllib3, typing-extensions, tqdm, sympy, safetensors, regex, pyyaml, psutil, Pillow, packaging, numpy, networkx, multidict, MarkupSafe, kornia-rs, idna, fsspec, frozenlist, filelock, einops, charset-normalizer, certifi, attrs, yarl, scipy, requests, jinja2, aiosignal, torch, huggingface-hub, aiohttp, torchvision, torchsde, tokenizers, kornia, transformers
Successfully installed MarkupSafe-2.1.5 Pillow-10.2.0 aiohttp-3.9.3 aiosignal-1.3.1 attrs-23.2.0 certifi-2024.2.2 charset-normalizer-3.3.2 einops-0.7.0 filelock-3.13.3 frozenlist-1.4.1 fsspec-2024.3.1 huggingface-hub-0.22.2 idna-3.6 jinja2-3.1.3 kornia-0.7.2 kornia-rs-0.1.2 mpmath-1.3.0 multidict-6.0.5 networkx-3.2.1 numpy-1.26.4 packaging-24.0 psutil-5.9.8 pyyaml-6.0.1 regex-2023.12.25 requests-2.31.0 safetensors-0.4.2 scipy-1.12.0 sympy-1.12 tokenizers-0.15.2 torch-2.2.2 torchsde-0.2.6 torchvision-0.17.2 tqdm-4.66.2 trampoline-0.1.2 transformers-4.39.2 typing-extensions-4.10.0 urllib3-2.2.1 yarl-1.9.4


~/Projects/ai/ComfyUI master* 30s
venv ❯ venv/bin/python main.py
Total VRAM 65536 MB, total RAM 65536 MB
Set vram state to: SHARED
Device: mps
VAE dtype: torch.float32
Using sub quadratic optimization for cross attention, if you have memory or speed issues try using: --use-split-cross-attention

Import times for custom nodes:
   0.0 seconds: /Users/michael/Projects/ai/ComfyUI/custom_nodes/websocket_image_save.py

Starting server

To see the GUI go to: http://127.0.0.1:8188
got prompt
model_type STABLE_CASCADE
clip missing: ['clip_g.logit_scale']
model_type STABLE_CASCADE
Missing VAE keys ['encoder.mean', 'encoder.std']
clip missing: ['clip_g.logit_scale']
Requested to load StableCascadeClipModel
Loading 1 new model
Requested to load StableCascade_C
Loading 1 new model
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Requested to load StableCascade_B
Loading 1 new model
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Requested to load StageA
Loading 1 new model
Prompt executed in 62.44 seconds

jk779 avatar Mar 31 '24 16:03 jk779

i've just tried the -pre version on a "clean" mac. having exactly the same issue. Can someone from the team reproduce it? :)

jk779 avatar Mar 31 '24 17:03 jk779

if you try: --force-fp32 does that fix it?

comfyanonymous avatar Mar 31 '24 17:03 comfyanonymous

Does it happen to normal SD1.5 or SDXL workflows? or just Stable Cascade?

bluevisor avatar Mar 31 '24 17:03 bluevisor

aha, interesting, before i read your posts i've crawled already present issues. And this seems to be related to a MacOS update to 14.4(.1): https://github.com/comfyanonymous/ComfyUI/issues/2992#issuecomment-2024893209

  • downgrade to Python 3.11
  • install torch==2.1.2 torchvision==0.16.2 this worked for me:
asdf plugin-add python
asdf install python 3.11.8
asdf local python 3.11.8
# close tab and repoen
python3 --version
python3 -m venv venv
source venv/bin/activate

pip install torch==2.1.2 torchvision==0.16.2
pip install -r requirements.txt

python main.py

but i don't know if this breaks MPS accellaration.

jk779 avatar Mar 31 '24 18:03 jk779

Does it happen to normal SD1.5 or SDXL workflows? or just Stable Cascade?

This happed to SDXL and SD 1 through 2.1.

jk779 avatar Mar 31 '24 18:03 jk779

Does it happen to normal SD1.5 or SDXL workflows? or just Stable Cascade?

This happed to SDXL and SD 1 through 2.1.

see if this helps: https://youtu.be/3RfjAIm1_Oo

bluevisor avatar Mar 31 '24 22:03 bluevisor

Does it happen to normal SD1.5 or SDXL workflows? or just Stable Cascade?

This happed to SDXL and SD 1 through 2.1.

Oh just saw your earlier reply, looks like you already figured it out. Although I still recommend using a launcher, rather than managing python packages by hand.

bluevisor avatar Mar 31 '24 22:03 bluevisor

  • torch==2.1.2 torchvision==0.16.2

thanks,this worked for me too

tvsj avatar Apr 04 '24 07:04 tvsj

  • downgrade to Python 3.11
  • install torch==2.1.2 torchvision==0.16.2 this worked for me:
python3 --version
python3 -m venv venv
source venv/bin/activate

pip install torch==2.1.2 torchvision==0.16.2
pip install -r requirements.txt

python main.py

Downgrading torch and torchvision worked for me as well. I was on torch=2.2.1 torchvision=0.17.1 prior, and that worked fine for SDXL and SD1.5.

rovo79 avatar Apr 11 '24 17:04 rovo79