Instructions to use InstantX/InstantID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use InstantX/InstantID with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("InstantX/InstantID", 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:
- c770a25967d703d5c11b0b6e80eb8080d94c757bc9892d3ebdcda25b129e40a0
- Size of remote file:
- 3.65 MB
- SHA256:
- a2a8dce791fe871a7281c72870128f2b874c36987b6a6dd63ba9f1f52f119454
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