Image-Text-to-Video
Diffusers
Safetensors
MiniMaxH3ModularPipeline
text-to-video
image-to-video
video-to-video
text-to-audio-video
image-to-audio-video
image-text-to-audio-video
video-to-audio-video
audio-to-audio-video
audio-video-generation
multimodal
synchronized-audio-video
reference-to-audio-video
Instructions to use MiniMaxAI/MiniMax-H3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- 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
#50
by jiangjihua - opened
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.