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/vae_config.json from DeepBeepMeep/MingImage: direct link, hf CLI and curl.
- Browser
- Download file 411 Bytes
-
https://huggingface.co/DeepBeepMeep/MingImage/resolve/main/ming_image/vae_config.json
- Command line
-
hf download hf://DeepBeepMeep/MingImage/ming_image/vae_config.json
-
curl -L -o vae_config.json https://huggingface.co/DeepBeepMeep/MingImage/resolve/main/ming_image/vae_config.json
411 Bytes
| { | |
| "_class_name": "AutoencoderKLQwenImage", | |
| "_diffusers_version": "0.36.0.dev0", | |
| "attn_scales": [], | |
| "base_dim": 96, | |
| "dim_mult": [ | |
| 1, | |
| 2, | |
| 4, | |
| 4 | |
| ], | |
| "dropout": 0.0, | |
| "input_channels": 4, | |
| "latents_mean": null, | |
| "latents_std": null, | |
| "scaling_factor": 8.0064, | |
| "shift_factor": 0.0, | |
| "num_res_blocks": 2, | |
| "temperal_downsample": [ | |
| false, | |
| true, | |
| true | |
| ], | |
| "z_dim": 16 | |
| } | |