Image-Text-to-Video
Diffusers
Safetensors
MiniMaxH3ModularPipeline
sdnq
uint4
quantized
text-to-audio-video
image-to-audio-video
reference-to-audio-video
8-bit precision
Instructions to use ai-server-mgr/MiniMax-H3-SDNQ-uint4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ai-server-mgr/MiniMax-H3-SDNQ-uint4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ai-server-mgr/MiniMax-H3-SDNQ-uint4", 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
Commit History
23 days ago
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Highlight verified single-CMP170HX generation with host-RAM offload
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Record completed single-CMP170HX T2VA generation with host-RAM offload
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Add files using upload-large-folder tool
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Add files using upload-large-folder tool
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Record verified single-CMP170HX plus host-RAM startup; generation not tested
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Document SDNQ uint4 weights, sizes, license and verified dual-CMP170HX test
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initial commit
MVerified signatureb9faefa