Instructions to use shraey/longcat-video-avatar-1.5-mlx-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shraey/longcat-video-avatar-1.5-mlx-int8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("shraey/longcat-video-avatar-1.5-mlx-int8", 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
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Check out the documentation for more information.
LongCat-Video-Avatar 1.5 β MLX (int8_fused)
MLX-format weights for LongCat-Video-Avatar 1.5, converted for Apple-silicon (MLX) inference with a fused int8 DiT.
Contents
base_model_int8_fused/β DiT (int8, fused) +audio_adapter.safetensorslora/dmd_lora.safetensorsβ DMD distillation LoRA (few-step generation)vae/β WAN-VAE decoder
Companion (not included here): text encoder + tokenizer β shraey/umt5-xxl-mlx; Whisper β mlx-community/whisper-large-v3-mlx; upscaler β shraey/flashvsr-v1.1-mlx.
Attribution & license
- Original model: meituan-longcat/LongCat-Video-Avatar-1.5 and meituan-longcat/LongCat-Video β MIT License, Β© Meituan LongCat team.
- This repository is a derivative work: format conversion to MLX + int8 quantization. Distributed under the same MIT terms.
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