Instructions to use MiniMaxAI/MiniMax-H3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MiniMax H3
How to use MiniMaxAI/MiniMax-H3 with MiniMax H3:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Diffusers
How to use MiniMaxAI/MiniMax-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("MiniMaxAI/MiniMax-H3", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
Ref2va always have some noise
Could I ask if I'm using the 4-GPU A100 with sglang for deployment, but the videos generated by Ref2va always have some noise and don't seem to be denoised thoroughly? Has anyone else encountered a similar issue?
I agree. Its good... it listens to prompts, its got the movement.. but the noise (gets worse the smaller you try) is always there.
Are you guys talking about this noise? I'd love to hear an official reply to that issue.
https://www.reddit.com/r/StableDiffusion/comments/1vgog4r/minimax_h3_artefacts_with_diff_ratios_and/
sorry,My problem was that the weight file got corrupted during the download process. After re-downloading it, everything worked much better.