| env: | |
| debug: false | |
| cuda: true | |
| dist_backend: nccl | |
| matplotlib_mode: agg | |
| log_root_dir: log | |
| rnd_seed: 200 | |
| model: MODEL(sd_variation) | |
| eval: | |
| main: lib.experiments.sd_default.eval | |
| stage: lib.experiments.sd_default.eval_stage_variation | |
| dataset: null | |
| save_code: true | |
| conditioning: | |
| - assets/benz.jpg | |
| - assets/ghibli.jpg | |
| - assets/horse.png | |
| - assets/matisse.jpg | |
| - assets/penguin.png | |
| - assets/scream.jpg | |
| - assets/space.jpg | |
| - assets/vermeer.jpg | |
| - assets/boy_and_girl.jpg | |
| - assets/church.jpg | |
| - assets/firework.jpg | |
| - assets/house_by_lake.jpg | |
| - assets/night_light.jpg | |
| - assets/san_diego.jpg | |
| - assets/tiger.jpg | |
| - assets/train.jpg | |
| replicate: 1 | |
| sample: | |
| output_dim: [512, 512] | |
| n_samples: 4 | |
| ddim_steps: 50 | |
| ddim_eta: 0.0 | |
| scale: 7.5 | |
| color_adj: true | |
| color_adj_keep_ratio: 0.5 | |
| color_adj_simple: true | |
| batch_size_per_gpu: 0 | |
| batch_size: null | |
| dataset_num_workers_per_gpu: 0 | |
| dataset_num_workers: null | |
| pretrained_pth_ema: pretrained/sd-variation-ema.pth | |
| strict_sd: true | |
| is_lite: true | |
| fix_seed: true | |
| eval_subdir: sd_variation | |