Commit
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f7a8d8f
1
Parent(s):
33a1591
added custom handler
Browse files- README.md +96 -0
- create_handler.ipynb +0 -0
- handler.py +1 -1
- result.png +0 -0
README.md
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---
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license: openrail++
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---
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---
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license: openrail++
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-guided-to-image-inpainting
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- endpoints-template
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---
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# Fork of [stabilityai/stable-diffusion-2-inpainting](https://huggingface.co/stabilityai/stable-diffusion-2-inpainting)
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> Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input.
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> For more information about how Stable Diffusion functions, please have a look at [🤗's Stable Diffusion with 🧨Diffusers blog](https://huggingface.co/blog/stable_diffusion).
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For more information about the model, license and limitations check the original model card at [stabilityai/stable-diffusion-2-inpainting](https://huggingface.co/stabilityai/stable-diffusion-2-inpainting).
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---
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This repository implements a custom `handler` task for `text-guided-to-image-inpainting` for 🤗 Inference Endpoints. The code for the customized pipeline is in the [pipeline.py](https://huggingface.co/philschmid/stable-diffusion-2-inpainting-endpoint/blob/main/handler.py).
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There is also a [notebook](https://huggingface.co/philschmid/stable-diffusion-2-inpainting-endpoint/blob/main/create_handler.ipynb) included, on how to create the `handler.py`
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**How it works:**
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`image` | `mask_image`
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:-------------------------:|:-------------------------:|
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<img src="https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png" alt="drawing" width="300"/> | <img src="https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo_mask.png" alt="drawing" width="300"/>
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`prompt` | `Output`
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:-------------------------:|:-------------------------:|
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<span style="position: relative;bottom: 150px;">Face of a bengal cat, high resolution, sitting on a park bench</span> | <img src="./result.png" alt="drawing" width="300"/>
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### expected Request payload
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```json
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{
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"inputs": "A prompt used for image generation",
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"image" : "iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAABGdBTUEAALGPC",
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"mask_image": "iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAABGdBTUEAALGPC",
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}
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```
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below is an example on how to run a request using Python and `requests`.
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## Run Request
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```python
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import json
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from typing import List
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import requests as r
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import base64
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from PIL import Image
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from io import BytesIO
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ENDPOINT_URL = ""
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HF_TOKEN = ""
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import base64
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from PIL import Image
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from io import BytesIO
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# helper image utils
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def encode_image(image_path):
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with open(image_path, "rb") as i:
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b64 = base64.b64encode(i.read())
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return b64.decode("utf-8")
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prompt = "Face of a bengal cat, high resolution, sitting on a park bench"
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# test the handler
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pred = my_handler(request)
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def predict(prompt, image, mask_image):
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image = encode_image(image)
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mask_image = encode_image(mask_image)
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# prepare sample payload
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request = {"inputs": prompt, "image": image, "mask_image": mask_image}
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# headers
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headers = {
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"Authorization": f"Bearer {HF_TOKEN}",
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"Content-Type": "application/json",
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"Accept": "image/png" # important to get an image back
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}
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response = r.post(ENDPOINT_URL, headers=headers, json=payload)
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img = Image.open(BytesIO(response.content))
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return img
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prediction = predict(
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prompt="Face of a bengal cat, high resolution, sitting on a park bench",
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image="dog.png",
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mask_image="mask_dog.png"
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)
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```
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expected output
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![sample](result.png)
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create_handler.ipynb
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The diff for this file is too large to render.
See raw diff
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handler.py
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@@ -66,4 +66,4 @@ class EndpointHandler():
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base64_image = base64.b64decode(image_string)
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buffer = BytesIO(base64_image)
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image = Image.open(buffer)
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return image
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base64_image = base64.b64decode(image_string)
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buffer = BytesIO(base64_image)
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image = Image.open(buffer)
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return image
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result.png
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