provide sampler by name
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commit
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2 changed files with 24 additions and 4 deletions
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@ -1,14 +1,17 @@
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from modules.api.processing import StableDiffusionProcessingAPI
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from modules.api.processing import StableDiffusionProcessingAPI
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from modules.processing import StableDiffusionProcessingTxt2Img, process_images
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from modules.processing import StableDiffusionProcessingTxt2Img, process_images
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from modules.sd_samplers import samplers_k_diffusion
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import modules.shared as shared
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import modules.shared as shared
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import uvicorn
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import uvicorn
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from fastapi import Body, APIRouter
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from fastapi import Body, APIRouter, HTTPException
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from fastapi.responses import JSONResponse
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from fastapi.responses import JSONResponse
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from pydantic import BaseModel, Field, Json
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from pydantic import BaseModel, Field, Json
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import json
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import json
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import io
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import io
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import base64
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import base64
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sampler_to_index = lambda name: next(filter(lambda row: name in row[1][2], enumerate(samplers_k_diffusion)), None)
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class TextToImageResponse(BaseModel):
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class TextToImageResponse(BaseModel):
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images: list[str] = Field(default=None, title="Image", description="The generated image in base64 format.")
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images: list[str] = Field(default=None, title="Image", description="The generated image in base64 format.")
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parameters: Json
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parameters: Json
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@ -23,9 +26,14 @@ class Api:
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self.app.add_api_route("/sdapi/v1/txt2img", self.text2imgapi, methods=["POST"])
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self.app.add_api_route("/sdapi/v1/txt2img", self.text2imgapi, methods=["POST"])
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def text2imgapi(self, txt2imgreq: StableDiffusionProcessingAPI ):
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def text2imgapi(self, txt2imgreq: StableDiffusionProcessingAPI ):
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sampler_index = sampler_to_index(txt2imgreq.sampler_index)
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if sampler_index is None:
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raise HTTPException(status_code=404, detail="Sampler not found")
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populate = txt2imgreq.copy(update={ # Override __init__ params
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populate = txt2imgreq.copy(update={ # Override __init__ params
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"sd_model": shared.sd_model,
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"sd_model": shared.sd_model,
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"sampler_index": 0,
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"sampler_index": sampler_index[0],
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"do_not_save_samples": True,
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"do_not_save_samples": True,
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"do_not_save_grid": True
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"do_not_save_grid": True
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}
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}
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@ -42,7 +42,8 @@ class PydanticModelGenerator:
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def __init__(
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def __init__(
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self,
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self,
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model_name: str = None,
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model_name: str = None,
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class_instance = None
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class_instance = None,
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additional_fields = None,
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):
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):
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def field_type_generator(k, v):
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def field_type_generator(k, v):
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# field_type = str if not overrides.get(k) else overrides[k]["type"]
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# field_type = str if not overrides.get(k) else overrides[k]["type"]
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@ -70,6 +71,13 @@ class PydanticModelGenerator:
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)
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)
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for (k,v) in self._class_data.items() if k not in API_NOT_ALLOWED
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for (k,v) in self._class_data.items() if k not in API_NOT_ALLOWED
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]
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]
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for fields in additional_fields:
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self._model_def.append(ModelDef(
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field=underscore(fields["key"]),
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field_alias=fields["key"],
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field_type=fields["type"],
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field_value=fields["default"]))
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def generate_model(self):
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def generate_model(self):
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"""
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"""
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@ -84,4 +92,8 @@ class PydanticModelGenerator:
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DynamicModel.__config__.allow_mutation = True
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DynamicModel.__config__.allow_mutation = True
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return DynamicModel
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return DynamicModel
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StableDiffusionProcessingAPI = PydanticModelGenerator("StableDiffusionProcessingTxt2Img", StableDiffusionProcessingTxt2Img).generate_model()
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StableDiffusionProcessingAPI = PydanticModelGenerator(
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"StableDiffusionProcessingTxt2Img",
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StableDiffusionProcessingTxt2Img,
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[{"key": "sampler_index", "type": str, "default": "k_euler_a"}]
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).generate_model()
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