mirror of
https://github.com/easydiffusion/easydiffusion.git
synced 2024-11-22 08:13:22 +01:00
74 lines
1.8 KiB
Python
74 lines
1.8 KiB
Python
from fastapi import FastAPI, HTTPException
|
|
from starlette.responses import FileResponse
|
|
from pydantic import BaseModel
|
|
|
|
import requests
|
|
|
|
LOCAL_SERVER_URL = 'http://stability-ai:5000'
|
|
PREDICT_URL = LOCAL_SERVER_URL + '/predictions'
|
|
|
|
app = FastAPI()
|
|
|
|
# defaults from https://huggingface.co/blog/stable_diffusion
|
|
class ImageRequest(BaseModel):
|
|
prompt: str
|
|
init_image: str = None # base64
|
|
mask: str = None # base64
|
|
num_outputs: str = "1"
|
|
num_inference_steps: str = "50"
|
|
guidance_scale: str = "7.5"
|
|
width: str = "512"
|
|
height: str = "512"
|
|
seed: str = "30000"
|
|
prompt_strength: str = "0.8"
|
|
|
|
@app.get('/')
|
|
def read_root():
|
|
return FileResponse('index.html')
|
|
|
|
@app.get('/ping')
|
|
async def ping():
|
|
try:
|
|
requests.get(LOCAL_SERVER_URL)
|
|
return {'OK'}
|
|
except:
|
|
return {'ERROR'}
|
|
|
|
@app.post('/image')
|
|
async def image(req : ImageRequest):
|
|
data = {
|
|
"input": {
|
|
"prompt": req.prompt,
|
|
"num_outputs": req.num_outputs,
|
|
"num_inference_steps": req.num_inference_steps,
|
|
"width": req.width,
|
|
"height": req.height,
|
|
"seed": req.seed,
|
|
"guidance_scale": req.guidance_scale,
|
|
}
|
|
}
|
|
|
|
if req.init_image is not None:
|
|
data['input']['init_image'] = req.init_image
|
|
data['input']['prompt_strength'] = req.prompt_strength
|
|
|
|
if req.mask is not None:
|
|
data['input']['mask'] = req.mask
|
|
|
|
if req.seed == "-1":
|
|
del data['input']['seed']
|
|
|
|
res = requests.post(PREDICT_URL, json=data)
|
|
if res.status_code != 200:
|
|
raise HTTPException(status_code=500, detail=res.text)
|
|
|
|
return res.json()
|
|
|
|
@app.get('/media/ding.mp3')
|
|
def read_root():
|
|
return FileResponse('media/ding.mp3')
|
|
|
|
@app.get('/modifiers.json')
|
|
def read_modifiers():
|
|
return FileResponse('modifiers.json')
|