Instructions to use JoeyYang/iCoMix_v05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JoeyYang/iCoMix_v05 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JoeyYang/iCoMix_v05", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.bin from JoeyYang/iCoMix_v05: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/JoeyYang/iCoMix_v05/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://JoeyYang/iCoMix_v05/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/JoeyYang/iCoMix_v05/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- c909046a24c6dafc04ada2a3f10a1fb106939738c119845a487190cfc3c9b90e
- Size of remote file:
- 335 MB
- SHA256:
- d3cd6e0527c8cf038ec57d02043273e7bb14f4a69859c8e70b0108f03bb4c0b3
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