Image-Text-to-Video
Diffusers
text-to-video
image-to-video
video-to-video
text-to-audio-video
multimodal
quantized
comfyui
int4
nvfp4
Instructions to use benjiaiplayground/MiniMax-H3_quant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use benjiaiplayground/MiniMax-H3_quant with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("benjiaiplayground/MiniMax-H3_quant", 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
- Xet hash:
- ee191f46ee7892460a371cb9ac78505c16084eefba59740d9754bdba3d6f4359
- Size of remote file:
- 31.4 MB
- SHA256:
- 116e0f08a399834e7ffc3472d036659b33250f4ba4f0b7e63f17ec07cb58e4dc
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