| { | |
| "project": "MMFace-DiT: A Dual-Stream Diffusion Transformer for High-Fidelity Multimodal Face Generation", | |
| "paper": "Accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)", | |
| "models": { | |
| "dit-unified-flux-vae-256": { | |
| "description": "MMFace-DiT Diffusion paradigm model for 256x256 resolution using unified flux VAE. Contains checkpoint-440700.", | |
| "resolution": 256, | |
| "paradigm": "Diffusion" | |
| }, | |
| "dit-unified-flux-vae-256-rfm": { | |
| "description": "MMFace-DiT Rectified Flow Matching (RFM) paradigm model for 256x256 resolution using unified flux VAE. Contains checkpoint-283517.", | |
| "resolution": 256, | |
| "paradigm": "Flow (RFM)" | |
| }, | |
| "dit-unified-flux-vae-512-rfm": { | |
| "description": "MMFace-DiT Rectified Flow Matching (RFM) paradigm model for 512x512 resolution using unified flux VAE. Contains checkpoint-44070.", | |
| "resolution": 512, | |
| "paradigm": "Flow (RFM)" | |
| }, | |
| "stable-diffusion-2-1-base": { | |
| "description": "Stable Diffusion 2.1 base model files, including feature_extractor, scheduler, text_encoder, tokenizer, and vae components." | |
| }, | |
| "VAE": { | |
| "description": "Standalone VAE model files, including config.json and diffusion_pytorch_model.safetensors weights." | |
| } | |
| } | |
| } |