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
Download text_encoder/generation_config.json from diffusers-internal-dev/tiny-minimax-h3-modular-pipe: direct link, hf CLI and curl.
- Browser
- Download file 152 Bytes
-
https://huggingface.co/diffusers-internal-dev/tiny-minimax-h3-modular-pipe/resolve/main/text_encoder/generation_config.json
- Command line
-
hf download hf://diffusers-internal-dev/tiny-minimax-h3-modular-pipe/text_encoder/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/diffusers-internal-dev/tiny-minimax-h3-modular-pipe/resolve/main/text_encoder/generation_config.json
152 Bytes
| { | |
| "_from_model_config": true, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "transformers_version": "5.8.0", | |
| "use_cache": true | |
| } | |