Instructions to use JackAILab/ConsistentID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JackAILab/ConsistentID with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JackAILab/ConsistentID", 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
Download ConsistentID_SDXL-v1.bin from JackAILab/ConsistentID: direct link, hf CLI and curl.
- Browser
- Download file 3.48 GB
-
https://huggingface.co/JackAILab/ConsistentID/resolve/main/ConsistentID_SDXL-v1.bin
- Command line
-
hf download hf://JackAILab/ConsistentID/ConsistentID_SDXL-v1.bin
-
curl -L -o ConsistentID_SDXL-v1.bin https://huggingface.co/JackAILab/ConsistentID/resolve/main/ConsistentID_SDXL-v1.bin
3.48 GB
- Xet hash:
- 799ab909fc98c113bba31ae0bb6f00439cf9581c4603158ecf14ad1069ecf5cc
- Size of remote file:
- 3.48 GB
- SHA256:
- 037e603ccb6f914ff0cfba13dfe479590bab4b07876e7c9f6fdf2c022566c352
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