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e9b2080 | 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 | {
"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."
}
}
} |