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Sponsored by
Agentkit
philschmid / stable-diffusion-2-inpainting-endpoint
Model's Last Updated: September 29 2023
image-to-image
Introduction of stable-diffusion-2-inpainting-endpoint
Model Details of stable-diffusion-2-inpainting-endpoint
Fork of stabilityai/stable-diffusion-2-inpainting
Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input. For more information about how Stable Diffusion functions, please have a look at 🤗's Stable Diffusion with 🧨Diffusers blog .
For more information about the model, license and limitations check the original model card at stabilityai/stable-diffusion-2-inpainting .
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
handler.py
.
There is also a
notebook
included, on how to create the
handler.py
expected Request payload
{
"inputs": "A prompt used for image generation",
"image" : "iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAABGdBTUEAALGPC",
"mask_image": "iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAAAABGdBTUEAALGPC",
}
below is an example on how to run a request using Python and
requests
.
Run Request
import json
from typing import List
import requests as r
import base64
from PIL import Image
from io import BytesIO
ENDPOINT_URL = ""
HF_TOKEN = ""
# helper image utils
def encode_image(image_path):
with open(image_path, "rb") as i:
b64 = base64.b64encode(i.read())
return b64.decode("utf-8")
def predict(prompt, image, mask_image):
image = encode_image(image)
mask_image = encode_image(mask_image)
# prepare sample payload
request = {"inputs": prompt, "image": image, "mask_image": mask_image}
# headers
headers = {
"Authorization": f"Bearer {HF_TOKEN}",
"Content-Type": "application/json",
"Accept": "image/png" # important to get an image back
}
response = r.post(ENDPOINT_URL, headers=headers, json=payload)
img = Image.open(BytesIO(response.content))
return img
prediction = predict(
prompt="Face of a bengal cat, high resolution, sitting on a park bench",
image="dog.png",
mask_image="mask_dog.png"
)
expected output
Runs of philschmid stable-diffusion-2-inpainting-endpoint on huggingface.co
61
Total runs
1
24-hour runs
-5
3-day runs
24
7-day runs
40
30-day runs
More Information About stable-diffusion-2-inpainting-endpoint huggingface.co Model
Url of stable-diffusion-2-inpainting-endpoint
stable-diffusion-2-inpainting-endpoint huggingface.co Url
Provider of stable-diffusion-2-inpainting-endpoint huggingface.co
Other API from philschmid
Updated:December 24 2022
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