Image-Text-to-Video
Diffusers
Safetensors
orbitquant
comfyui
w4
w4a4
native-w4a4-transformer-runtime
text-to-video
audio-video-generation
8-bit precision
Instructions to use WaveCut/MiniMax-H3-OrbitQuant-W4A4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WaveCut/MiniMax-H3-OrbitQuant-W4A4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WaveCut/MiniMax-H3-OrbitQuant-W4A4", 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
| id,role,task,seed,variant,generation_seconds,decode_seconds,load_seconds,cuda_generation_peak_bytes,cuda_decode_peak_bytes,h264_bytes,hevc_bytes | |
| source-bf16-control,source control,t2va,74001,controlled_bf16_ablation,451.5754231447354,19.563463208731264,1.5101884552277625,68463336960,12139359744,635349,375788 | |
| w4-text-control,component isolation control,t2va,74001,controlled_bf16_ablation,381.5656377780251,13.154935840982944,2.5672516343183815,68464447488,12139359744,753550,449021 | |
| w4a4-native-t2va,final native W4A4 T2VA recipe,t2va,42,orbitquant_w4a4,114.6722432100214,4.709521219134331,1.4625724367797375,46359644160,12139359744,815089,474343 | |