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 ai_manager_quantization.json from ai-server-mgr/MiniMax-H3-SDNQ-uint4: direct link, hf CLI and curl.
- Browser
- Download file 357 Bytes
-
https://huggingface.co/ai-server-mgr/MiniMax-H3-SDNQ-uint4/resolve/main/ai_manager_quantization.json
- Command line
-
hf download hf://ai-server-mgr/MiniMax-H3-SDNQ-uint4/ai_manager_quantization.json
-
curl -L -o ai_manager_quantization.json https://huggingface.co/ai-server-mgr/MiniMax-H3-SDNQ-uint4/resolve/main/ai_manager_quantization.json
357 Bytes
| { | |
| "source_model": "MiniMaxAI/MiniMax-H3", | |
| "resolved_model": "MiniMaxAI/MiniMax-H3", | |
| "weights_dtype": "uint4", | |
| "group_size": 64, | |
| "components": [ | |
| "transformer", | |
| "transformer_ref", | |
| "text_encoder" | |
| ], | |
| "artifact_kind": "pipeline", | |
| "sdnq_version": "0.2.5+ai.manager.5", | |
| "source_revision": "42ed227ee7df40d41602854ae760620d6eb651fe" | |
| } | |