mirror of
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
synced 2024-06-07 21:20:49 +00:00
57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
from modules.api.processing import StableDiffusionProcessingAPI
|
|
from modules.processing import StableDiffusionProcessingTxt2Img, process_images
|
|
import modules.shared as shared
|
|
import uvicorn
|
|
from fastapi import Body, APIRouter
|
|
from fastapi.responses import JSONResponse
|
|
from pydantic import BaseModel, Field, Json
|
|
import json
|
|
import io
|
|
import base64
|
|
|
|
class TextToImageResponse(BaseModel):
|
|
images: list[str] = Field(default=None, title="Image", description="The generated image in base64 format.")
|
|
parameters: Json
|
|
info: Json
|
|
|
|
|
|
class Api:
|
|
def __init__(self, app):
|
|
self.router = APIRouter()
|
|
app.add_api_route("/sdapi/v1/txt2img", self.text2imgapi, methods=["POST"])
|
|
|
|
def text2imgapi(self, txt2imgreq: StableDiffusionProcessingAPI ):
|
|
populate = txt2imgreq.copy(update={ # Override __init__ params
|
|
"sd_model": shared.sd_model,
|
|
"sampler_index": 0,
|
|
"do_not_save_samples": True,
|
|
"do_not_save_grid": True
|
|
}
|
|
)
|
|
p = StableDiffusionProcessingTxt2Img(**vars(populate))
|
|
# Override object param
|
|
processed = process_images(p)
|
|
|
|
b64images = []
|
|
for i in processed.images:
|
|
buffer = io.BytesIO()
|
|
i.save(buffer, format="png")
|
|
b64images.append(base64.b64encode(buffer.getvalue()))
|
|
|
|
return TextToImageResponse(images=b64images, parameters=json.dumps(vars(txt2imgreq)), info=json.dumps(processed.info))
|
|
|
|
|
|
|
|
def img2imgendoint(self):
|
|
raise NotImplementedError
|
|
|
|
def extrasendoint(self):
|
|
raise NotImplementedError
|
|
|
|
def pnginfoendoint(self):
|
|
raise NotImplementedError
|
|
|
|
def launch(self, server_name, port):
|
|
app.include_router(self.router)
|
|
uvicorn.run(app, host=server_name, port=port)
|