Instructions to use diffusers-internal-dev/tiny-minimax-h3-modular-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-internal-dev/tiny-minimax-h3-modular-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers-internal-dev/tiny-minimax-h3-modular-pipe", 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
| { | |
| "_class_name": "MiniMaxH3Pipeline", | |
| "_diffusers_version": "0.40.0.dev0", | |
| "text_encoder": [ | |
| "transformers", | |
| "Qwen3VLForConditionalGeneration" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "Qwen2Tokenizer" | |
| ], | |
| "processor": [ | |
| "transformers", | |
| "Qwen3VLProcessor" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKLMiniMaxH3" | |
| ], | |
| "audio_vae": [ | |
| "diffusers", | |
| "AutoencoderKLMiniMaxH3Audio" | |
| ], | |
| "transformer": [ | |
| "diffusers", | |
| "MiniMaxH3Transformer3DModel" | |
| ], | |
| "transformer_ref": [ | |
| "diffusers", | |
| "MiniMaxH3Transformer3DModel" | |
| ], | |
| "scheduler": [ | |
| "diffusers", | |
| "MiniMaxH3Scheduler" | |
| ], | |
| "audio_scheduler": [ | |
| "diffusers", | |
| "MiniMaxH3Scheduler" | |
| ] | |
| } |