Instructions to use findnitai/FaceGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use findnitai/FaceGen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("findnitai/FaceGen", 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
- Xet hash:
- 23efffcf96cd6e53251e59151ef70f5c79beacbcdce8b239b43b0beadc813f6d
- Size of remote file:
- 492 MB
- SHA256:
- d213510f959fcfbf4f2331d29fd3250b4dfdf9ca586152447ad2e20a570551f4
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