File size: 1,135 Bytes
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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
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