Instructions to use kaiw7/Kai-JAV-MiniMax-H3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kaiw7/Kai-JAV-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("kaiw7/Kai-JAV-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] - Notebooks
- Google Colab
- Kaggle
Gated model You can list files but not access them
Preview of files found in this repository
- FL2VA
- Ref2VA
- _archives
- _manifests
- assets
- audio_scheduler
- audio_vae
- data
- inputs
- javisbench_h3_5s
- physics_aware_av_prompts
- processor
- scheduler
- scripts
- session_backups
- skills
- text_encoder
- tokenizer
- tools
- training
- transformer
- transformer_ref
- vae
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