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:
- 2328881d64a0983362fdb5addb2bdf5a62cffdf9ffaf563db6d39ecccecdfa6f
- Size of remote file:
- 851 kB
- SHA256:
- 5c9d33dfc517438c59e93da7b3d0b2a62e3cf69bc2adb7d1b2d33d7d8df7161f
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