Upload folder using huggingface_hub

.gitattributes

@@ -2,7 +2,6 @@
 *.arrow filter=lfs diff=lfs merge=lfs -text
 *.bin filter=lfs diff=lfs merge=lfs -text
 *.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
 *.ftz filter=lfs diff=lfs merge=lfs -text
 *.gz filter=lfs diff=lfs merge=lfs -text
 *.h5 filter=lfs diff=lfs merge=lfs -text
@@ -22,10 +21,8 @@
 *.pt filter=lfs diff=lfs merge=lfs -text
 *.pth filter=lfs diff=lfs merge=lfs -text
 *.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
 saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
 *.tflite filter=lfs diff=lfs merge=lfs -text
 *.tgz filter=lfs diff=lfs merge=lfs -text
 *.wasm filter=lfs diff=lfs merge=lfs -text
@@ -33,3 +30,36 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+ckpt_00560000-kat-ema-pruned.ckpt filter=lfs diff=lfs merge=lfs -text
+ckpt_00840000-kat-ema-pruned.ckpt filter=lfs diff=lfs merge=lfs -text
+vae-ft-ema-560000-ema-pruned.ckpt filter=lfs diff=lfs merge=lfs -text
+vae-ft-ema-560000-ema-pruned.safetensors filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/ft-ema/00011.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/ft-ema/00025.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/ft-ema/00029.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/ft-ema/00037.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/ft-ema/00051.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/ft-ema/00053.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/ft-ema/00055.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/ft-mse/00011.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/ft-mse/00025.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/ft-mse/00029.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/ft-mse/00037.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/ft-mse/00051.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/ft-mse/00053.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/ft-mse/00055.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/merged/00011_merged.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/merged/00025_merged.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/merged/00029_merged.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/merged/00037_merged.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/merged/00043_merged.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/merged/00051_merged.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/merged/00053_merged.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/merged/00055_merged.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/original/00011.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/original/00025.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/original/00029.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/original/00037.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/original/00051.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/original/00053.png filter=lfs diff=lfs merge=lfs -text
+eval/ae-decoder-tuning-reconstructions/original/00055.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,73 @@
+---
+license: mit
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+inference: false
+---
+# Improved Autoencoders
+
+## Utilizing
+These weights are intended to be used with the original [CompVis Stable Diffusion codebase](https://github.com/CompVis/stable-diffusion). If you are looking for the model to use with the 🧨 diffusers library, [come here](https://huggingface.co/CompVis/stabilityai/sd-vae-ft-ema).
+
+## Decoder Finetuning
+We publish two kl-f8 autoencoder versions, finetuned from the original [kl-f8 autoencoder](https://github.com/CompVis/latent-diffusion#pretrained-autoencoding-models) on a 1:1 ratio of [LAION-Aesthetics](https://laion.ai/blog/laion-aesthetics/) and LAION-Humans, an unreleased subset containing only SFW images of humans. The intent was to fine-tune on the Stable Diffusion training set (the autoencoder was originally trained on OpenImages) but also enrich the dataset with images of humans to improve the reconstruction of faces.
+The first, _ft-EMA_, was resumed from the original checkpoint, trained for 313198 steps and uses EMA weights. It uses the same loss configuration as the original checkpoint (L1 + LPIPS).
+The second, _ft-MSE_, was resumed from _ft-EMA_ and uses EMA weights and was trained for another 280k steps using a different loss, with more emphasis 
+on MSE reconstruction (MSE + 0.1 * LPIPS). It produces somewhat ``smoother'' outputs. The batch size for both versions was 192 (16 A100s, batch size 12 per GPU).
+To keep compatibility with existing models, only the decoder part was finetuned; the checkpoints can be used as a drop-in replacement for the existing autoencoder.
+
+_Original kl-f8 VAE vs f8-ft-EMA vs f8-ft-MSE_
+
+## Evaluation 
+### COCO 2017 (256x256, val, 5000 images)
+| Model    | train steps | rFID | PSNR         | SSIM          | PSIM          | Link                                                                              | Comments                                                                                        
+|----------|---------|------|--------------|---------------|---------------|-----------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------|
+|          |         |      |              |               |               |                                                                                   |                                                                                                 |
+| original | 246803        | 4.99 | 23.4 +/- 3.8 | 0.69 +/- 0.14 | 1.01 +/- 0.28 | https://ommer-lab.com/files/latent-diffusion/kl-f8.zip                            | as used in SD                                                                                   |
+| ft-EMA   | 560001        | 4.42 | 23.8 +/- 3.9 | 0.69 +/- 0.13 | 0.96 +/- 0.27 | https://huggingface.co/stabilityai/sd-vae-ft-ema-original/resolve/main/vae-ft-ema-560000-ema-pruned.ckpt | slightly better overall, with EMA                                                               |
+| ft-MSE   | 840001        | 4.70 | 24.5 +/- 3.7 | 0.71 +/- 0.13 | 0.92 +/- 0.27 | https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.ckpt | resumed with EMA from ft-EMA, emphasis on MSE (rec. loss = MSE + 0.1 * LPIPS), smoother outputs |
+
+
+### LAION-Aesthetics 5+ (256x256, subset, 10000 images)
+| Model    | train steps | rFID | PSNR         | SSIM          | PSIM          | Link                                                                              | Comments                                                                                        
+|----------|-----------|------|--------------|---------------|---------------|-----------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------|
+|          |           |      |              |               |               |                                                                                   |                                                                                                 |
+| original | 246803         | 2.61 | 26.0 +/- 4.4 | 0.81 +/- 0.12 | 0.75 +/- 0.36 | https://ommer-lab.com/files/latent-diffusion/kl-f8.zip                            | as used in SD                                                                                   |
+| ft-EMA   | 560001          | 1.77 | 26.7 +/- 4.8 | 0.82 +/- 0.12 | 0.67 +/- 0.34 | https://huggingface.co/stabilityai/sd-vae-ft-ema-original/resolve/main/vae-ft-ema-560000-ema-pruned.ckpt | slightly better overall, with EMA                                                               |
+| ft-MSE   | 840001          | 1.88 | 27.3 +/- 4.7 | 0.83 +/- 0.11 | 0.65 +/- 0.34 | https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.ckpt | resumed with EMA from ft-EMA, emphasis on MSE (rec. loss = MSE + 0.1 * LPIPS), smoother outputs |
+
+
+### Visual
+_Visualization of reconstructions on  256x256 images from the COCO2017 validation dataset._ 
+
+<p align="center">
+  <br>
+  <b>
+256x256: ft-EMA (left), ft-MSE (middle), original (right)</b>
+</p>
+
+<p align="center">
+<img src=https://huggingface.co/stabilityai/stable-diffusion-decoder-finetune/resolve/main/eval/ae-decoder-tuning-reconstructions/merged/00025_merged.png />
+</p>
+
+<p align="center">
+<img src=https://huggingface.co/stabilityai/stable-diffusion-decoder-finetune/resolve/main/eval/ae-decoder-tuning-reconstructions/merged/00011_merged.png />
+</p>
+
+<p align="center">
+<img src=https://huggingface.co/stabilityai/stable-diffusion-decoder-finetune/resolve/main/eval/ae-decoder-tuning-reconstructions/merged/00037_merged.png />
+</p>
+
+<p align="center">
+<img src=https://huggingface.co/stabilityai/stable-diffusion-decoder-finetune/resolve/main/eval/ae-decoder-tuning-reconstructions/merged/00043_merged.png />
+</p>
+
+<p align="center">
+<img src=https://huggingface.co/stabilityai/stable-diffusion-decoder-finetune/resolve/main/eval/ae-decoder-tuning-reconstructions/merged/00053_merged.png />
+</p>
+
+<p align="center">
+<img src=https://huggingface.co/stabilityai/stable-diffusion-decoder-finetune/resolve/main/eval/ae-decoder-tuning-reconstructions/merged/00029_merged.png />
+</p>

vae-ft-ema-560000-ema-pruned.ckpt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0b204ad0cae549e0a7e298d803d57e36363760dec71c63109c1da3e1147ec520
+size 334695179

vae-ft-ema-560000-ema-pruned.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:95f26a5ab04779d5467d1fcecaf93160ffa523afe399b835b3e1bb77ff2d937a
+size 334641190