Instructions to use jaxmetaverse/all_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jaxmetaverse/all_models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jaxmetaverse/all_models", 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 models/checkpoints/memo/misc/face_analysis/models.json from jaxmetaverse/all_models: direct link, hf CLI and curl.
- Browser
- Download file 177 Bytes
-
https://huggingface.co/jaxmetaverse/all_models/resolve/main/models/checkpoints/memo/misc/face_analysis/models.json
- Command line
-
hf download hf://jaxmetaverse/all_models/models/checkpoints/memo/misc/face_analysis/models.json
-
curl -L -o models.json https://huggingface.co/jaxmetaverse/all_models/resolve/main/models/checkpoints/memo/misc/face_analysis/models.json
177 Bytes
| { | |
| "detection": [ | |
| "scrfd_10g_bnkps" | |
| ], | |
| "recognition": [ | |
| "glintr100" | |
| ], | |
| "analysis": [ | |
| "genderage", | |
| "2d106det", | |
| "1k3d68" | |
| ] | |
| } |