Instructions to use Muapi/posing-dynamics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/posing-dynamics with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/posing-dynamics") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download preview.jpg from Muapi/posing-dynamics: direct link, hf CLI and curl.
- Browser
- Download file 13.3 MB
-
https://huggingface.co/Muapi/posing-dynamics/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/posing-dynamics/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/posing-dynamics/resolve/main/preview.jpg
13.3 MB
- Xet hash:
- 9284d66689a2e75b652948971cb896859c0916e13be0cda3246bf1cd6cd62996
- Size of remote file:
- 13.3 MB
- SHA256:
- 0dd8bc032a6e904c77d84d5baaa85473f6f3950dcf155849b16cc1074fb8bf80
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.