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:
- 6e554eb82332833eeb5e6d083a40c2e71a539acae636225f9e165ec2c1b27a2a
- Size of remote file:
- 2.5 GB
- SHA256:
- c8127be9f174101ebdafee9964d856b49b634435cf6daa396d3f593cf0bbbb05
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