Add config and lists endpoints
This commit is contained in:
Bruno Seoane
parent
d98eacea40
commit
7a2e36b583
2 changed files with 159 additions and 8 deletions
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@ -2,14 +2,17 @@ import base64
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import io
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import time
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import uvicorn
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from gradio.processing_utils import decode_base64_to_file, decode_base64_to_image
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from fastapi import APIRouter, Depends, HTTPException
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from threading import Lock
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from gradio.processing_utils import encode_pil_to_base64, decode_base64_to_file, decode_base64_to_image
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from fastapi import APIRouter, Depends, FastAPI, HTTPException
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import modules.shared as shared
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from modules.api.models import *
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from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img, process_images
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from modules.sd_samplers import all_samplers, sample_to_image, samples_to_image_grid
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from modules.sd_samplers import all_samplers
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from modules.extras import run_extras, run_pnginfo
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from modules.sd_models import checkpoints_list
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from modules.realesrgan_model import get_realesrgan_models
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from typing import List
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def upscaler_to_index(name: str):
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try:
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@ -37,7 +40,7 @@ def encode_pil_to_base64(image):
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class Api:
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def __init__(self, app, queue_lock):
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def __init__(self, app: FastAPI, queue_lock: Lock):
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self.router = APIRouter()
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self.app = app
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self.queue_lock = queue_lock
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@ -48,6 +51,19 @@ class Api:
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self.app.add_api_route("/sdapi/v1/png-info", self.pnginfoapi, methods=["POST"], response_model=PNGInfoResponse)
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self.app.add_api_route("/sdapi/v1/progress", self.progressapi, methods=["GET"], response_model=ProgressResponse)
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self.app.add_api_route("/sdapi/v1/interrupt", self.interruptapi, methods=["POST"])
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self.app.add_api_route("/sdapi/v1/options", self.get_config, methods=["GET"], response_model=OptionsModel)
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self.app.add_api_route("/sdapi/v1/options", self.set_config, methods=["POST"])
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self.app.add_api_route("/sdapi/v1/cmd-flags", self.get_cmd_flags, methods=["GET"], response_model=FlagsModel)
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self.app.add_api_route("/sdapi/v1/info", self.get_info, methods=["GET"])
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self.app.add_api_route("/sdapi/v1/samplers", self.get_samplers, methods=["GET"], response_model=List[SamplerItem])
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self.app.add_api_route("/sdapi/v1/upscalers", self.get_upscalers, methods=["GET"], response_model=List[UpscalerItem])
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self.app.add_api_route("/sdapi/v1/sd-models", self.get_sd_models, methods=["GET"], response_model=List[SDModelItem])
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self.app.add_api_route("/sdapi/v1/hypernetworks", self.get_hypernetworks, methods=["GET"], response_model=List[HypernetworkItem])
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self.app.add_api_route("/sdapi/v1/face-restorers", self.get_face_restorers, methods=["GET"], response_model=List[FaceRestorerItem])
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self.app.add_api_route("/sdapi/v1/realesrgan-models", self.get_realesrgan_models, methods=["GET"], response_model=List[RealesrganItem])
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self.app.add_api_route("/sdapi/v1/prompt-styles", self.get_promp_styles, methods=["GET"], response_model=List[PromptStyleItem])
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self.app.add_api_route("/sdapi/v1/artist-categories", self.get_artists_categories, methods=["GET"], response_model=List[str])
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self.app.add_api_route("/sdapi/v1/artists", self.get_artists, methods=["GET"], response_model=List[ArtistItem])
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def text2imgapi(self, txt2imgreq: StableDiffusionTxt2ImgProcessingAPI):
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sampler_index = sampler_to_index(txt2imgreq.sampler_index)
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@ -190,6 +206,77 @@ class Api:
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shared.state.interrupt()
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return {}
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def get_config(self):
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options = {}
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for key in shared.opts.data.keys():
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metadata = shared.opts.data_labels.get(key)
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if(metadata is not None):
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options.update({key: shared.opts.data.get(key, shared.opts.data_labels.get(key).default)})
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else:
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options.update({key: shared.opts.data.get(key, None)})
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return options
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def set_config(self, req: OptionsModel):
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reqDict = vars(req)
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for o in reqDict:
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setattr(shared.opts, o, reqDict[o])
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shared.opts.save(shared.config_filename)
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return
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def get_cmd_flags(self):
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return vars(shared.cmd_opts)
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def get_info(self):
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return {
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"hypernetworks": [{"name": name, "path": shared.hypernetworks[name]} for name in shared.hypernetworks],
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"face_restorers": [{"name":x.name(), "cmd_dir": getattr(x, "cmd_dir", None)} for x in shared.face_restorers],
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"realesrgan_models":[{"name":x.name,"path":x.data_path, "scale":x.scale} for x in get_realesrgan_models(None)],
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"promp_styles":[shared.prompt_styles.styles[k] for k in shared.prompt_styles.styles],
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"artists_categories": shared.artist_db.cats,
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# "artists": [{"name":x[0], "score":x[1], "category":x[2]} for x in shared.artist_db.artists]
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}
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def get_samplers(self):
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return [{"name":sampler[0], "aliases":sampler[2], "options":sampler[3]} for sampler in all_samplers]
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def get_upscalers(self):
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upscalers = []
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for upscaler in shared.sd_upscalers:
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u = upscaler.scaler
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upscalers.append({"name":u.name, "model_name":u.model_name, "model_path":u.model_path, "model_url":u.model_url})
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return upscalers
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def get_sd_models(self):
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return [{"title":x.title, "model_name":x.model_name, "hash":x.hash, "filename": x.filename, "config": x.config} for x in checkpoints_list.values()]
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def get_hypernetworks(self):
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return [{"name": name, "path": shared.hypernetworks[name]} for name in shared.hypernetworks]
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def get_face_restorers(self):
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return [{"name":x.name(), "cmd_dir": getattr(x, "cmd_dir", None)} for x in shared.face_restorers]
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def get_realesrgan_models(self):
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return [{"name":x.name,"path":x.data_path, "scale":x.scale} for x in get_realesrgan_models(None)]
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def get_promp_styles(self):
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styleList = []
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for k in shared.prompt_styles.styles:
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style = shared.prompt_styles.styles[k]
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styleList.append({"name":style[0], "prompt": style[1], "negative_prompr": style[2]})
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return styleList
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def get_artists_categories(self):
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return shared.artist_db.cats
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def get_artists(self):
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return [{"name":x[0], "score":x[1], "category":x[2]} for x in shared.artist_db.artists]
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def launch(self, server_name, port):
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self.app.include_router(self.router)
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@ -1,11 +1,10 @@
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import inspect
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from click import prompt
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from pydantic import BaseModel, Field, create_model
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from typing import Any, Optional
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from typing import Any, Optional, Union
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from typing_extensions import Literal
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from inflection import underscore
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from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img
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from modules.shared import sd_upscalers
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from modules.shared import sd_upscalers, opts, parser
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API_NOT_ALLOWED = [
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"self",
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@ -165,3 +164,68 @@ class ProgressResponse(BaseModel):
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eta_relative: float = Field(title="ETA in secs")
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state: dict = Field(title="State", description="The current state snapshot")
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current_image: str = Field(default=None, title="Current image", description="The current image in base64 format. opts.show_progress_every_n_steps is required for this to work.")
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fields = {}
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for key, value in opts.data.items():
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metadata = opts.data_labels.get(key)
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optType = opts.typemap.get(type(value), type(value))
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if (metadata is not None):
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fields.update({key: (Optional[optType], Field(
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default=metadata.default ,description=metadata.label))})
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else:
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fields.update({key: (Optional[optType], Field())})
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OptionsModel = create_model("Options", **fields)
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flags = {}
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_options = vars(parser)['_option_string_actions']
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for key in _options:
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if(_options[key].dest != 'help'):
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flag = _options[key]
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_type = str
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if(_options[key].default != None): _type = type(_options[key].default)
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flags.update({flag.dest: (_type,Field(default=flag.default, description=flag.help))})
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FlagsModel = create_model("Flags", **flags)
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class SamplerItem(BaseModel):
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name: str = Field(title="Name")
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aliases: list[str] = Field(title="Aliases")
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options: dict[str, str] = Field(title="Options")
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class UpscalerItem(BaseModel):
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name: str = Field(title="Name")
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model_name: str | None = Field(title="Model Name")
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model_path: str | None = Field(title="Path")
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model_url: str | None = Field(title="URL")
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class SDModelItem(BaseModel):
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title: str = Field(title="Title")
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model_name: str = Field(title="Model Name")
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hash: str = Field(title="Hash")
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filename: str = Field(title="Filename")
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config: str = Field(title="Config file")
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class HypernetworkItem(BaseModel):
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name: str = Field(title="Name")
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path: str | None = Field(title="Path")
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class FaceRestorerItem(BaseModel):
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name: str = Field(title="Name")
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cmd_dir: str | None = Field(title="Path")
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class RealesrganItem(BaseModel):
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name: str = Field(title="Name")
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path: str | None = Field(title="Path")
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scale: int | None = Field(title="Scale")
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class PromptStyleItem(BaseModel):
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name: str = Field(title="Name")
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prompt: str | None = Field(title="Prompt")
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negative_prompt: str | None = Field(title="Negative Prompt")
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class ArtistItem(BaseModel):
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name: str = Field(title="Name")
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score: float = Field(title="Score")
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category: str = Field(title="Category")
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