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| gpu_id: "" | |
| seed: 10000 | |
| display: True | |
| im_size: 512 | |
| aligned: True | |
| background_enhance: True | |
| face_upsample: True | |
| diffusion: | |
| target: models.script_util.create_gaussian_diffusion | |
| params: | |
| steps: 1000 | |
| learn_sigma: True | |
| sigma_small: False | |
| noise_schedule: linear | |
| use_kl: False | |
| predict_xstart: False | |
| rescale_timesteps: False | |
| rescale_learned_sigmas: True | |
| timestep_respacing: "250" | |
| model: | |
| target: models.unet.UNetModel | |
| ckpt_path: ./weights/diffusion/iddpm_ffhq512_ema500000.pth | |
| params: | |
| image_size: 512 | |
| in_channels: 3 | |
| model_channels: 32 | |
| out_channels: 6 | |
| attention_resolutions: [32, 16, 8] | |
| dropout: 0 | |
| channel_mult: [1, 2, 4, 8, 8, 16, 16] | |
| num_res_blocks: [1, 2, 2, 2, 2, 3, 4] | |
| conv_resample: True | |
| dims: 2 | |
| use_fp16: False | |
| num_head_channels: 64 | |
| use_scale_shift_norm: True | |
| resblock_updown: False | |
| use_new_attention_order: False | |
| model_ir: | |
| target: models.swinir.SwinIR | |
| ckpt_path: ./weights/SwinIR/General_Face_ffhq512.pth | |
| params: | |
| img_size: 64 | |
| patch_size: 1 | |
| in_chans: 3 | |
| embed_dim: 180 | |
| depths: [6, 6, 6, 6, 6, 6, 6, 6] | |
| num_heads: [6, 6, 6, 6, 6, 6, 6, 6] | |
| window_size: 8 | |
| mlp_ratio: 2 | |
| sf: 8 | |
| img_range: 1.0 | |
| upsampler: "nearest+conv" | |
| resi_connection: "1conv" | |
| unshuffle: True | |
| unshuffle_scale: 8 | |
| # face detection model for unaligned face | |
| detection: | |
| det_model: "retinaface_resnet50" # large model: 'YOLOv5l', 'retinaface_resnet50'; small model: 'YOLOv5n', 'retinaface_mobile0.25' | |
| upscale: 2 # The final upscaling factor for the whole image | |