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
File size: 584 Bytes
2bb8054 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | {
"_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
}
|