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:
- 1b6e101358c34e26bb05c067ade0f684e55757401c09f9065d3dd4256544ff7d
- Size of remote file:
- 1.69 GB
- SHA256:
- 450de0ae56ab0ddae21ad840d3ba9146b4e9c8420a518d6c2e62947c004b41ce
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