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README.md

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 ---
 license: mit
 ---
+
+# 🍰 Tiny AutoEncoder for Stable Diffusion X4 Upscaler
+
+[`taesd-x4-upscaler`](https://github.com/madebyollin/taesd) is very tiny autoencoder which uses the same "latent API" as [`stable-diffusion-x4-upscaler`](https://huggingface.co/stabilityai/stable-diffusion-x4-upscaler)'s VAE.
+`taesd-x4-upscaler` is useful for [real-time previewing](https://twitter.com/madebyollin/status/1679356448655163394) of the upsampling process.
+
+This repo contains `.safetensors` versions of the `taesd-x4-upscaler` weights.

config.json

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+{
+  "_class_name": "AutoencoderTiny",
+  "_diffusers_version": "0.20.0.dev0",
+  "act_fn": "relu",
+  "decoder_block_out_channels": [
+    64,
+    64,
+    64
+  ],
+  "encoder_block_out_channels": [
+    64,
+    64,
+    64
+  ],
+  "force_upcast": false,
+  "in_channels": 3,
+  "latent_channels": 4,
+  "latent_magnitude": 3,
+  "latent_shift": 0.5,
+  "num_decoder_blocks": [
+    3,
+    3,
+    1
+  ],
+  "num_encoder_blocks": [
+    1,
+    3,
+    3
+  ],
+  "out_channels": 3,
+  "scaling_factor": 1.0,
+  "upsampling_scaling_factor": 2
+}

diffusion_pytorch_model.bin

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diffusion_pytorch_model.safetensors

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taesd_decoder.safetensors

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taesd_encoder.safetensors

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