How to use from the
Use from the
Diffusers library
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]

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.

Downloads last month
-
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support