Instructions to use ChuuniZ/comfyui-image-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChuuniZ/comfyui-image-models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ChuuniZ/comfyui-image-models", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Upload ckpts/wget-log
Browse files- ckpts/wget-log +11 -0
ckpts/wget-log
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--2024-11-26 12:45:57-- https://www.liblib.art/modelinfo/f8b990b20cb943e3aa0e96f34099d794?from=feed
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Resolving www.liblib.art (www.liblib.art)... 47.93.126.33
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Connecting to www.liblib.art (www.liblib.art)|47.93.126.33|:443... connected.
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HTTP request sent, awaiting response... 200 OK
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Length: 48128 (47K) [text/html]
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Saving to: ‘f8b990b20cb943e3aa0e96f34099d794?from=feed’
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2024-11-26 12:45:59 (310 KB/s) - ‘f8b990b20cb943e3aa0e96f34099d794?from=feed’ saved [48128/48128]
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