Initial commit

.gitattributes

@@ -0,0 +1,35 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.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
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.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
+*.xz 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

README.md

@@ -0,0 +1,33 @@
+---
+license: mit
+pipeline_tag: text-to-image
+tags:
+  - onnx
+  - text-to-image
+inference: false
+---
+
+## Model Descriptions:
+
+This repo contains ONNX model files for [madebyollin's Tiny AutoEncoder for Stable Diffusion](https://huggingface.co/madebyollin/taesd).
+
+## Using in 🧨 diffusers
+
+To install the requirements for this demo, do pip install optimum["onnxruntime"]. 
+
+```python
+from optimum.onnxruntime import ORTStableDiffusionPipeline
+
+model_id = "CompVis/stable-diffusion-v1-4"
+pipeline = ORTStableDiffusionPipeline.from_pretrained(model_id, revision="onnx")
+
+# Inject TAESD
+
+taesd_id = "deinferno/taesd-onnx"
+pipeline.vae_decoder = OnnxRuntimeModel.from_pretrained(taesd_id, subfolder = "vae_decoder")
+pipeline.vae_encoder = OnnxRuntimeModel.from_pretrained(taesd_id, subfolder = "vae_encoder")
+
+prompt = "sailing ship in storm by Leonardo da Vinci"
+image = pipeline(prompt).images[0]
+output.save("result.png")
+```

convert_to_onnx.py

@@ -0,0 +1,17 @@
+from diffusers import AutoencoderTiny
+
+from pathlib import Path
+
+from optimum.exporters.onnx import export
+from optimum.exporters.onnx.model_configs import VaeDecoderOnnxConfig, VaeEncoderOnnxConfig
+taesd = AutoencoderTiny.from_pretrained("madebyollin/taesd")
+
+# TAESD Decoder
+
+taesd.forward = lambda latent_sample: taesd.decode(x=latent_sample)
+export(model = taesd, config = VaeDecoderOnnxConfig( config = taesd.config, task = "semantic-segmentation"), output = Path("./vae_decoder/model.onnx"))
+
+# TAESD Encoder
+
+taesd.forward = lambda sample: {"latent_sample": taesd.encode(x=sample)["latents"]}
+export(model = taesd, config = VaeEncoderOnnxConfig( config = taesd.config, task = "semantic-segmentation"), output = Path("./vae_encoder/model.onnx"))

vae_decoder/model.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f82beecbb0dce16ccf7c327f096eed54c39d91d0cab20416ffa1fcd39f6928f
+size 4912246

vae_encoder/model.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:79f10fc3d9272ae1be42c594b9d1f8f235b2a69ece524ccb2e315d394c873a2e
+size 4910073