Instructions to use DeepBeepMeep/MingImage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use DeepBeepMeep/MingImage with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download ming_image_layer/transformer_config.json from DeepBeepMeep/MingImage: direct link, hf CLI and curl.
- Browser
- Download file 584 Bytes
-
https://huggingface.co/DeepBeepMeep/MingImage/resolve/main/ming_image_layer/transformer_config.json
- Command line
-
hf download hf://DeepBeepMeep/MingImage/ming_image_layer/transformer_config.json
-
curl -L -o transformer_config.json https://huggingface.co/DeepBeepMeep/MingImage/resolve/main/ming_image_layer/transformer_config.json
584 Bytes
| { | |
| "_class_name": "DiffusionTransformer", | |
| "_diffusers_version": "0.36.0", | |
| "_name_or_path": "", | |
| "all_f_patch_size": [ | |
| 1 | |
| ], | |
| "all_patch_size": [ | |
| 2 | |
| ], | |
| "axes_dims": [ | |
| 32, | |
| 48, | |
| 48 | |
| ], | |
| "axes_lens": [ | |
| 20480, | |
| 512, | |
| 512 | |
| ], | |
| "cap_feat_dim": 2560, | |
| "dim": 3840, | |
| "in_channels": 16, | |
| "n_heads": 30, | |
| "n_kv_heads": 30, | |
| "n_layers": 30, | |
| "n_refiner_layers": 2, | |
| "norm_eps": 1e-05, | |
| "qk_norm": true, | |
| "rope_theta": 256.0, | |
| "siglip_feat_dim": null, | |
| "t_scale": 1000.0, | |
| "alignment_padding_mode": "learned", | |
| "multi_frame_output": true | |
| } | |