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:
- 2807dd3d9402a8a4f603d46153df85af57ff1c98c4c01fa24aeac0a823922a4a
- Size of remote file:
- 8.22 MB
- SHA256:
- 796c264126110d87992dcb54213ac0697920cb4ddf3d5a06aa36069386fc4fa1
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