Diffusers
ONNX
Safetensors
Transformers
English
Chinese
audio-text-to-video
audio-image-text-to-video
audio-driven-video-continuation
avatar
video-generation
Instructions to use rtgfreuui/LongCat-Video-Avatar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rtgfreuui/LongCat-Video-Avatar with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rtgfreuui/LongCat-Video-Avatar", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Transformers
How to use rtgfreuui/LongCat-Video-Avatar with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rtgfreuui/LongCat-Video-Avatar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from rtgfreuui/LongCat-Video-Avatar: direct link, hf CLI and curl.
- Browser
- Download file 44 Bytes
-
https://huggingface.co/rtgfreuui/LongCat-Video-Avatar/resolve/main/config.json
- Command line
-
hf download hf://rtgfreuui/LongCat-Video-Avatar/config.json
-
curl -L -o config.json https://huggingface.co/rtgfreuui/LongCat-Video-Avatar/resolve/main/config.json
44 Bytes
| { | |
| "model_name": "LongCat-Video-Avatar" | |
| } |