Instructions to use camenduru/facechain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use camenduru/facechain with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("camenduru/facechain", 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
thanks to facechain ❤
Browse files
ckpt/facechain_realistic.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:4b0627cec0160799befad4694b20a23d44ddbc3b582a53f63e8c28ba7f56057b
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size 4265341834
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