Instructions to use hf-internal-testing/tiny-minimax-h3-modular-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/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("hf-internal-testing/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": "AutoencoderKLMiniMaxH3Audio", | |
| "_diffusers_version": "0.40.0.dev0", | |
| "decoder_dim": 16, | |
| "decoder_kernel_sizes": [ | |
| 4, | |
| 4 | |
| ], | |
| "decoder_rates": [ | |
| 2, | |
| 2 | |
| ], | |
| "encoder_dim": 4, | |
| "encoder_rates": [ | |
| 2, | |
| 2 | |
| ], | |
| "latent_channels": 8, | |
| "latent_dim": 32, | |
| "latents_mean": [ | |
| 0.0, | |
| 0.0, | |
| 0.0, | |
| 0.0, | |
| 0.0, | |
| 0.0, | |
| 0.0, | |
| 0.0 | |
| ], | |
| "latents_std": [ | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0 | |
| ], | |
| "num_attention_heads": 2, | |
| "resblock_dilation_sizes": [ | |
| [ | |
| 1, | |
| 3 | |
| ], | |
| [ | |
| 1, | |
| 3 | |
| ] | |
| ], | |
| "resblock_kernel_sizes": [ | |
| 3, | |
| 7 | |
| ], | |
| "sampling_rate": 160 | |
| } | |