Instructions to use Super-shuhe/InstantID-FaceID-70K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Super-shuhe/InstantID-FaceID-70K with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Super-shuhe/InstantID-FaceID-70K", 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:
- 1ca2d86651de8ed46f56b3336dcf55d5e15aebb5487598f6009aac40706e90c9
- Size of remote file:
- 13.4 GB
- SHA256:
- e0ab0926d8cbe1e6cb3288aef04b1357e77d8ba2254601877168ab90d3e1cd6b
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