Instructions to use JCTN/InstantID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JCTN/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("JCTN/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
File size: 337 Bytes
268ecd7 c64c2c4 | 1 2 3 4 5 6 | anteloper son los modelos que nesita para fincionar y esta comprimido, para usar en colab u pc.
- https://github.com/camenduru/InstantID-hf/tree/main/models/antelopev2
- https://huggingface.co/DIAMONIK7777/antelopev2/tree/main
- https://github.com/dream80/TonyColab
- mm
- https://github.com/Mikubill/sd-webui-controlnet/discussions/2589 |