Created
February 1, 2023 20:16
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Save Image from API inference Stable Diffusion on Hugging Face in Python
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import json | |
import requests | |
from PIL import Image | |
import io | |
import re | |
from time import time | |
API_TOKEN = "" # token in case you want to use private API | |
headers = { | |
# "Authorization": f"Bearer {API_TOKEN}", | |
"X-Wait-For-Model": "true", | |
"X-Use-Cache": "false" | |
} | |
API_URL = "https://api-inference.huggingface.co/models/runwayml/stable-diffusion-v1-5" | |
def query(payload): | |
data = json.dumps(payload) | |
response = requests.request("POST", API_URL, headers=headers, data=data) | |
return Image.open(io.BytesIO(response.content)) | |
def slugify(text): | |
# remove non-word characters and foreign characters | |
text = re.sub(r"[^\w\s]", "", text) | |
text = re.sub(r"\s+", "-", text) | |
return text | |
prompt = "A photo of a a flyiing cat" | |
image = query({"inputs": prompt}) | |
image.save(f"{slugify(prompt)}-{time():.0f}.png") |
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