| { |
| "model_name": "FlashRender", |
| "description": "Few-step generative rendering via camera-controlled video MeanFlow.", |
| "task": "video-to-video", |
| "license": "apache-2.0", |
| "code_repository": "https://github.com/byeongjun-park/FlashRender", |
| "base_model": "alibaba-pai/Wan2.1-Fun-V1.1-1.3B-Control-Camera", |
| "torch_dtype": "bfloat16", |
| "height": 480, |
| "width": 832, |
| "num_frames": 81, |
| "state_dict_format": "partial (trainable subset only); load with strict=False onto the base Wan DiT patched by flashrender_utils.model_utils.adjust_to_FlashRender", |
| "checkpoints": { |
| "epoch_20.safetensors": { |
| "stage": 1, |
| "training": "multi-step flow matching (t = r) with RETA feature alignment", |
| "num_inference_steps": 50, |
| "inference_mode": "mul" |
| }, |
| "meanflow_epoch_20.safetensors": { |
| "stage": 2, |
| "training": "few-step MeanFlow distillation, resumed from stage 1", |
| "num_inference_steps": 4, |
| "inference_mode": "any" |
| }, |
| "onpolicy_epoch_5.safetensors": { |
| "stage": 3, |
| "training": "on-policy flow-map distillation (DMD/VSD + GAN) of the stage-2 student", |
| "num_inference_steps": 4, |
| "inference_mode": "any" |
| } |
| } |
| } |
|
|
