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
Upload pytorch_lora_weights.bin
Browse files- pytorch_lora_weights.bin +3 -0
pytorch_lora_weights.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b47c109406650ad7e8eacfa2afd832fc966145e5155d38a7b6eeb62a370139c9
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size 102138971
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