Image-Text-to-Video
Diffusers
Safetensors
text-to-video
image-to-video
video-to-video
text-to-audio-video
image-to-audio-video
image-text-to-audio-video
video-to-audio-video
audio-to-audio-video
audio-video-generation
multimodal
synchronized-audio-video
reference-to-audio-video
Instructions to use TechnoBaptist/MiniMax-H3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TechnoBaptist/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("TechnoBaptist/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
| { | |
| "_class_name": "AutoencoderKLLegacy", | |
| "_diffusers_version": "0.32.2", | |
| "causal_decoder": false, | |
| "causal_encoder": true, | |
| "ch": 128, | |
| "ch_mult": [ | |
| 1, | |
| 2, | |
| 2, | |
| 4, | |
| 4, | |
| 8 | |
| ], | |
| "embed_dim": 24, | |
| "in_channels": 3, | |
| "num_res_blocks": 2, | |
| "num_res_blocks_decoder": null, | |
| "out_ch": 3, | |
| "padding_mode": "reflect", | |
| "padding_mode_t": null, | |
| "pixel_norm_type": "imagenet", | |
| "scaling_factor": 1.0, | |
| "shift_factor": 0.0, | |
| "space_down": [ | |
| 2, | |
| 2, | |
| 2, | |
| 2, | |
| 1, | |
| 1 | |
| ], | |
| "space_up": [ | |
| 1, | |
| 2, | |
| 2, | |
| 2, | |
| 2, | |
| 1 | |
| ], | |
| "time_down": [ | |
| 1, | |
| 2, | |
| 2, | |
| 1, | |
| 1, | |
| 1 | |
| ], | |
| "time_up": null, | |
| "use_3d_conv": true, | |
| "use_t_isolated_gn": true, | |
| "use_vit_decoder": true, | |
| "vae_ratio": 16, | |
| "vae_ratio_t": 4, | |
| "vit_decoder_kwargs": { | |
| "dim_head": 64, | |
| "ffn_activation_fn": "silu", | |
| "ffn_use_gated": true, | |
| "heads": 32, | |
| "norm_affine": true, | |
| "norm_type": "rms_norm", | |
| "num_layers": 36, | |
| "qk_norm_affine": false, | |
| "qk_norm_type": "rms_norm", | |
| "rope_dim_ratio": 0.75, | |
| "rope_theta": 100.0 | |
| }, | |
| "z_channels": 24, | |
| "zq_ch_decoder": null, | |
| "zq_ch_encoder": null | |
| } | |