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
File size: 835 Bytes
fa2d87b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | {
"status": "pass",
"review_type": "manual_visual_temporal",
"reviewed_frame_indices": [
0,
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],
"prompt_subject_recognizable": true,
"coherent_motion": true,
"repeating_tile_artifacts": false,
"motion_ghosting": false,
"texture_breakup": false,
"face_integrity": true,
"full_resolution_frame_reviewed": true,
"notes": "Dense every-fifth-frame and 6 FPS tail review preserves one face, aligned eyes and lips, and persistent wet-skin texture. Fast running frames contain ordinary motion blur that resolves in adjacent frames. This review is visual only; generated audio still requires a listening gate."
}
|