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call sampler by name

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arcticfaded 2022-10-19 05:19:01 +00:00
parent e7f4808505
commit 0f0d6ab8e0
2 changed files with 9 additions and 8 deletions
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11
modules/api/api.py
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@ -1,6 +1,7 @@
from modules.api.processing import StableDiffusionProcessingAPI from modules.api.processing import StableDiffusionProcessingAPI
from modules.processing import StableDiffusionProcessingTxt2Img, process_images from modules.processing import StableDiffusionProcessingTxt2Img, process_images
from modules.sd_samplers import samplers_k_diffusion from modules.sd_samplers import all_samplers
from modules.extras import run_pnginfo
import modules.shared as shared import modules.shared as shared
import uvicorn import uvicorn
from fastapi import Body, APIRouter, HTTPException from fastapi import Body, APIRouter, HTTPException
@ -10,7 +11,7 @@ import json
import io import io
import base64 import base64
sampler_to_index = lambda name: next(filter(lambda row: name in row[1][2], enumerate(samplers_k_diffusion)), None) sampler_to_index = lambda name: next(filter(lambda row: name.lower() == row[1].name.lower(), enumerate(all_samplers)), None)
class TextToImageResponse(BaseModel): class TextToImageResponse(BaseModel):
images: list[str] = Field(default=None, title="Image", description="The generated image in base64 format.") images: list[str] = Field(default=None, title="Image", description="The generated image in base64 format.")
@ -53,13 +54,13 @@ class Api:
def img2imgendoint(self): def img2imgapi(self):
raise NotImplementedError raise NotImplementedError
def extrasendoint(self): def extrasapi(self):
raise NotImplementedError raise NotImplementedError
def pnginfoendoint(self): def pnginfoapi(self):
raise NotImplementedError raise NotImplementedError
def launch(self, server_name, port): def launch(self, server_name, port):

6
modules/api/processing.py
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@ -1,7 +1,7 @@
from inflection import underscore from inflection import underscore
from typing import Any, Dict, Optional from typing import Any, Dict, Optional
from pydantic import BaseModel, Field, create_model from pydantic import BaseModel, Field, create_model
from modules.processing import StableDiffusionProcessing, Processed, StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img, process_images from modules.processing import StableDiffusionProcessingTxt2Img
import inspect import inspect
@ -95,5 +95,5 @@ class PydanticModelGenerator:
StableDiffusionProcessingAPI = PydanticModelGenerator( StableDiffusionProcessingAPI = PydanticModelGenerator(
"StableDiffusionProcessingTxt2Img", "StableDiffusionProcessingTxt2Img",
StableDiffusionProcessingTxt2Img, StableDiffusionProcessingTxt2Img,
[{"key": "sampler_index", "type": str, "default": "k_euler_a"}] [{"key": "sampler_index", "type": str, "default": "Euler"}]
).generate_model() ).generate_model()