Add Diffusers AutoModel support

#1
by dn6 HF Staff - opened
Files changed (2) hide show
  1. README.md +19 -3
  2. config.json +3 -0
README.md CHANGED
@@ -12,14 +12,14 @@ tags:
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  # About
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- Tiny AutoEncoder trained on the latent space of [black-forest-labs/FLUX.2-dev](https://huggingface.co/black-forest-labs/FLUX.2-dev)'s autoencoder. Works to convert between latent and image space up to 20x faster and in 28x fewer parameters at the expense of a small amount of quality.
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  Code for this model is available [here](https://huggingface.co/fal/FLUX.2-Tiny-AutoEncoder/blob/main/flux2_tiny_autoencoder.py).
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  # Round-Trip Comparisons
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  | Source | Image |
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- | ------ | ----- |
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  | https://www.pexels.com/photo/mirror-lying-on-open-book-11495792/ | ![compare_autoencoders_1](https://cdn-uploads.huggingface.co/production/uploads/64429aaf7feb866811b12f73/u7ZnjY8FAwu09-iyEC_um.png) |
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  | https://www.pexels.com/photo/brown-hummingbird-selective-focus-photography-1133957/ | ![compare_autoencoders_2](https://cdn-uploads.huggingface.co/production/uploads/64429aaf7feb866811b12f73/ZzvJu3VfrzlvZ7bDDASog.png) |
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  | https://www.pexels.com/photo/person-with-body-painting-1209843/ | ![compare_autoencoders_3](https://cdn-uploads.huggingface.co/production/uploads/64429aaf7feb866811b12f73/B56LPhLYiGT0ffnBVIRbP.png) |
@@ -51,4 +51,20 @@ with torch.inference_mode():
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  recon_image = F.to_pil_image(recon)
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  recon_image.save("reconstituted.png")
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # About
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+ Tiny AutoEncoder trained on the latent space of [black-forest-labs/FLUX.2-dev](https://huggingface.co/black-forest-labs/FLUX.2-dev)'s autoencoder. Works to convert between latent and image space up to 20x faster and in 28x fewer parameters at the expense of a small amount of quality.
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  Code for this model is available [here](https://huggingface.co/fal/FLUX.2-Tiny-AutoEncoder/blob/main/flux2_tiny_autoencoder.py).
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  # Round-Trip Comparisons
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  | Source | Image |
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+ | ------ | ----- |
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  | https://www.pexels.com/photo/mirror-lying-on-open-book-11495792/ | ![compare_autoencoders_1](https://cdn-uploads.huggingface.co/production/uploads/64429aaf7feb866811b12f73/u7ZnjY8FAwu09-iyEC_um.png) |
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  | https://www.pexels.com/photo/brown-hummingbird-selective-focus-photography-1133957/ | ![compare_autoencoders_2](https://cdn-uploads.huggingface.co/production/uploads/64429aaf7feb866811b12f73/ZzvJu3VfrzlvZ7bDDASog.png) |
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  | https://www.pexels.com/photo/person-with-body-painting-1209843/ | ![compare_autoencoders_3](https://cdn-uploads.huggingface.co/production/uploads/64429aaf7feb866811b12f73/B56LPhLYiGT0ffnBVIRbP.png) |
 
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  recon_image = F.to_pil_image(recon)
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  recon_image.save("reconstituted.png")
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+ ```
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+
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+ ## Use with Diffusers 🧨
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+
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+ ```py
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+ import torch
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+ from diffusers import AutoModel, Flux2Pipeline
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+
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+ device = torch.device("cuda")
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+ tiny_vae = AutoModel.from_pretrained(
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+ "fal/FLUX.2-Tiny-AutoEncoder", trust_remote_code=True, torch_dtype=torch.bfloat16
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+ ).to(device)
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+
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+ pipe = Flux2Pipeline.from_pretrained(
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+ "black-forest-labs/FLUX.2-dev", vae=tiny_vae, torch_dtype=torch.bfloat16
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+ ).to(device)
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+ ```
config.json CHANGED
@@ -1,6 +1,9 @@
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  {
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  "_class_name": "Flux2TinyAutoEncoder",
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  "_diffusers_version": "0.35.2",
 
 
 
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  "act_fn": "silu",
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  "decoder_block_out_channels": [
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  64,
 
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  {
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  "_class_name": "Flux2TinyAutoEncoder",
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  "_diffusers_version": "0.35.2",
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+ "auto_map": {
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+ "AutoModel": "flux2_tiny_autoencoder.Flux2TinyAutoEncoder"
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+ },
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  "act_fn": "silu",
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  "decoder_block_out_channels": [
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  64,