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
metadata
pipeline_tag: image-text-to-video
license: other
license_name: minimax-h3-community-license-agreement
license_link: LICENSE
library_name: diffusers
tags:
- text-to-video
- image-to-video
- image-text-to-video
- video-to-video
- text-to-audio-video
- multimodal
- quantized
- comfyui
- int4
- nvfp4
base_model: MiniMaxAI/MiniMax-H3
base_model_relation: quantized
This Repo working in progress. In the meanwhile , check out the official repo, https://huggingface.co/MiniMaxAI/MiniMax-H3
License
MiniMax H3 is released under the MiniMax H3 Community License Agreement. Q&A about the License