Instructions to use GG2024/LongCat-Video-Avatar-1.5-INT8-runtime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GG2024/LongCat-Video-Avatar-1.5-INT8-runtime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GG2024/LongCat-Video-Avatar-1.5-INT8-runtime", 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
LongCat Video Avatar 1.5 INT8 runtime subset
This repository contains only the files required by the RunPod INT8
two-speaker worker. The files are redistributed from the MIT-licensed
meituan-longcat/LongCat-Video
at 03b55529b1d1d4045f5fbe14d65c8c6e8116b278 and
meituan-longcat/LongCat-Video-Avatar-1.5
at 92016c71d5d318d0f5d84e4db30015a571484ab6.
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