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": "AutoencoderKLMiniMaxH3", | |
| "_diffusers_version": "0.40.0.dev0", | |
| "block_out_channels": [ | |
| 8, | |
| 16 | |
| ], | |
| "clip_length": 17, | |
| "decoder_attention_head_dim": 8, | |
| "decoder_ffn_mult": 2, | |
| "decoder_norm_eps": 1e-05, | |
| "decoder_num_attention_heads": 2, | |
| "decoder_num_layers": 2, | |
| "decoder_num_register_tokens": 2, | |
| "decoder_rope_dim_ratio": 0.75, | |
| "decoder_rope_theta": 100.0, | |
| "in_channels": 3, | |
| "latent_channels": 4, | |
| "latents_mean": [ | |
| 0.0, | |
| 0.0, | |
| 0.0, | |
| 0.0 | |
| ], | |
| "latents_std": [ | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0 | |
| ], | |
| "layers_per_block": 1, | |
| "norm_eps": 1e-06, | |
| "norm_num_groups": 8, | |
| "out_channels": 3, | |
| "spatial_downsample_factors": [ | |
| 4, | |
| 4 | |
| ], | |
| "spatial_padding_mode": "reflect", | |
| "temporal_downsample_factors": [ | |
| 2, | |
| 2 | |
| ], | |
| "token_drop": 3 | |
| } | |