metadata
configs:
- config_name: synth_chars
data_files:
- split: train
path: data/synth_chars/*.parquet
- config_name: big_liminal
data_files:
- split: train
path: data/big_liminal/*.parquet
- config_name: deepfashion
data_files:
- split: train
path: data/deepfashion/*.parquet
- config_name: ffhq
data_files:
- split: train
path: data/ffhq/*.parquet
- config_name: flux_assorted_bulk
data_files:
- split: train
path: data/flux_assorted_bulk/*.parquet
- config_name: flux_assorted_bulk_2
data_files:
- split: train
path: data/flux_assorted_bulk_2/*.parquet
- config_name: imagenet_synthetic
data_files:
- split: train
path: data/imagenet_synthetic/*.parquet
- config_name: imdb
data_files:
- split: train
path: data/imdb/*.parquet
- config_name: mannequins_v10
data_files:
- split: train
path: data/mannequins_v10/*.parquet
- config_name: mannequins_v7
data_files:
- split: train
path: data/mannequins_v7/*.parquet
- config_name: full
data_files:
- split: train
path: data/*/*.parquet
diffusion-pretrain-set-ft1-1024
1024px (2x) upscale of AbstractPhil/diffusion-pretrain-set-ft1.
WARNING
MUCH OF THIS DATA WAS MODEL UPSCALED USING RAPID UPSCALERS.
THIS IS NOT CONSISTENTLY HIGH FIDELITY NOR IS IT EVEN CLOSE TO FAIR FIDELITY AT TIMES.
PLEASE use this ONLY for pretraining, new concepts, and simple design purposes ONLY. HEAVILY PRUNE FOR FINETUNING.
Thank you, good luck my friends.
Details
- Model: realesr-general-x4v3 (SRVGG Compact, spandrel), fp16, native 4x forward -> bicubic+antialias retarget to 2x (supersampled).
- Selected by speed/fidelity Pareto on real data: rw_lpips 0.021, LR-consistency PSNR 41.4 (hallucination guard).
- Re-encoding: webp q95.
- All Image columns upscaled; every other column passed through unchanged.
- Images with min edge >= 1024px kept verbatim (original bytes/encoding).
- All image columns normalized to typed Image() features (several source subsets stored untyped raw bytes).
- Shards: 2048 source rows each, row groups of 512.