Text-to-Video
Diffusers
Safetensors
MiniMax H3
MiniMaxH3ModularPipeline
image-to-video
audio-video-generation
sparse-attention
block-sparse
inference-acceleration
triton
comfyui
Instructions to use Aazeus/Spark-H3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Aazeus/Spark-H3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Aazeus/Spark-H3", 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 workflows/spark_h3_dmad_4step_lora_5p2s_t2va.json from Aazeus/Spark-H3: direct link, hf CLI and curl.
- Browser
- Download file 31.7 kB
-
https://huggingface.co/Aazeus/Spark-H3/resolve/main/workflows/spark_h3_dmad_4step_lora_5p2s_t2va.json
- Command line
-
hf download hf://Aazeus/Spark-H3/workflows/spark_h3_dmad_4step_lora_5p2s_t2va.json
-
curl -L -o spark_h3_dmad_4step_lora_5p2s_t2va.json https://huggingface.co/Aazeus/Spark-H3/resolve/main/workflows/spark_h3_dmad_4step_lora_5p2s_t2va.json
31.7 kB
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| "type": "MODEL", | |
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| { | |
| "localized_name": "条件", | |
| "name": "conditioning", | |
| "type": "CONDITIONING", | |
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| } | |
| ], | |
| "outputs": [ | |
| { | |
| "localized_name": "引导器", | |
| "name": "GUIDER", | |
| "type": "GUIDER", | |
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| "type": "INT", | |
| "widget": { | |
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| "outputs": [ | |
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| "name": "NOISE", | |
| "type": "NOISE", | |
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| "# Spark-H3 + DMAD 4-step LoRA\n\n- LoRA: `dmad_minimax_h3_4step_lora_critic_comfyui_bf16.safetensors` at strength 1.0.\n- Model sampling: MiniMax-H3 video shift 12, audio shift 2.\n- Scheduler: `simple`, 4 steps; Spark `steps=4`, `warmup_ratio=0.25` (first evaluation dense), `topk_ratio=0.2`, `dense_layers=1`.\n- Sampler: `MiniMaxH3DMADSampler`, implementing DMAD's re-noise rule.\n- Upstream DMAD sweater prompt; T2VA with synchronized audio: 124 frames (5.2 s) at 24 fps, 1344×768, seed 42.\n- Load the converted LoRA, apply the 12/2 sigma shift, then Spark; Spark output feeds both BasicGuider and BasicScheduler.\n" | |
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| "text": "# Spark-H3 + DMAD 4-step LoRA\n\n- LoRA: `dmad_minimax_h3_4step_lora_critic_comfyui_bf16.safetensors` at strength 1.0.\n- Model sampling: MiniMax-H3 video shift 12, audio shift 2.\n- Scheduler: `simple`, 4 steps; Spark `steps=4`, `warmup_ratio=0.25` (first evaluation dense), `topk_ratio=0.2`, `dense_layers=1`.\n- Sampler: `MiniMaxH3DMADSampler`, implementing DMAD's re-noise rule.\n- Upstream DMAD sweater prompt; T2VA with synchronized audio: 124 frames (5.2 s) at 24 fps, 1344×768, seed 42.\n- Load the converted LoRA, apply the 12/2 sigma shift, then Spark; Spark output feeds both BasicGuider and BasicScheduler.\n" | |
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