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
- Draw Things
- DiffusionBee

- Xet hash:
- 19959810f35b41d64d72891576822c41d89838c679f0a11f2c72fec9ace5c64d
- Size of remote file:
- 5.69 MB
- SHA256:
- 0b09c0b97c29c2d6306cf01e9d241fdd439a8e00ca6c91fa76c4b20617cba773
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