Instructions to use Charles-Elena/InstantID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Charles-Elena/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("Charles-Elena/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
Download 2_payload.json from Charles-Elena/InstantID: direct link, hf CLI and curl.
- Browser
- Download file 437 Bytes
-
https://huggingface.co/Charles-Elena/InstantID/resolve/main/2_payload.json
- Command line
-
hf download hf://Charles-Elena/InstantID/2_payload.json
-
curl -L -o 2_payload.json https://huggingface.co/Charles-Elena/InstantID/resolve/main/2_payload.json
437 Bytes
| { | |
| "face_image_path": "https://i.ibb.co/GQzm527/examples-musk-resize.jpg", | |
| "pose_image_path": "https://i.ibb.co/TRCK4MS/examples-poses-pose2.jpg", | |
| "inputs": "a man flying in the sky in Mars", | |
| "negative_prompt": "(lowres, low quality, worst quality:1.2), (text:1.2), watermark, anime, photorealistic, 35mm film, deformed, glitch, low contrast, noisy", | |
| "guidance_scale": 5.0, | |
| "num_inference_steps": 20, | |
| "style_name": "Mars" | |
| } | |