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
Download processor/tokenizer.json from ai-server-mgr/MiniMax-H3-SDNQ-uint4: direct link, hf CLI and curl.
- Browser
- Download file 7.03 MB
-
https://huggingface.co/ai-server-mgr/MiniMax-H3-SDNQ-uint4/resolve/main/processor/tokenizer.json
- Command line
-
hf download hf://ai-server-mgr/MiniMax-H3-SDNQ-uint4/processor/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ai-server-mgr/MiniMax-H3-SDNQ-uint4/resolve/main/processor/tokenizer.json
7.03 MB
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