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/echo_mimic/v2/pose_encoder.pth from jaxmetaverse/all_models: direct link, hf CLI and curl.
- Browser
- Download file 1.7 GB
-
https://huggingface.co/jaxmetaverse/all_models/resolve/main/models/echo_mimic/v2/pose_encoder.pth
- Command line
-
hf download hf://jaxmetaverse/all_models/models/echo_mimic/v2/pose_encoder.pth
-
curl -L -o pose_encoder.pth https://huggingface.co/jaxmetaverse/all_models/resolve/main/models/echo_mimic/v2/pose_encoder.pth
1.7 GB
- Xet hash:
- 4a1e545f45ba0e4f0e0957413e627d688b7e2427cf6b95758b3e5a31633ba5d2
- Size of remote file:
- 1.7 GB
- SHA256:
- 24113dffd754519d67ef960cb30a5e53958bb552d7ca7cafcd94addbe840204c
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