mirror of
https://github.com/vladmandic/automatic
synced 2026-09-11 15:28:43 +02:00
update setup
This commit is contained in:
+27
-24
@@ -1,34 +1,37 @@
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import base64
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import io
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import time
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import base64
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import datetime
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import uvicorn
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import gradio as gr
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from threading import Lock
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from io import BytesIO
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from gradio.processing_utils import decode_base64_to_file
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# from gradio_client.utils import decode_base64_to_file
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from typing import List
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from threading import Lock
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from secrets import compare_digest
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import anyio
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import starlette
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import fastapi
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from fastapi import APIRouter, Depends, FastAPI, Request, Response
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from fastapi.security import HTTPBasic, HTTPBasicCredentials
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from fastapi.exceptions import HTTPException
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from fastapi.responses import JSONResponse
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from fastapi.encoders import jsonable_encoder
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from secrets import compare_digest
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from PIL import PngImagePlugin,Image
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import piexif
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import piexif.helper
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import uvicorn
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import gradio as gr
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from gradio.processing_utils import decode_base64_to_file
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# from gradio_client.utils import decode_base64_to_file
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from modules import shared, errors, sd_samplers, deepbooru, sd_hijack, images, scripts, ui, postprocessing
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from modules import errors, shared, sd_samplers, deepbooru, sd_hijack, images, scripts, ui, postprocessing
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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.textual_inversion.textual_inversion import create_embedding, train_embedding
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from modules.textual_inversion.preprocess import preprocess
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from modules.hypernetworks.hypernetwork import create_hypernetwork, train_hypernetwork
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from PIL import PngImagePlugin,Image
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from modules.sd_models import checkpoints_list, unload_model_weights, reload_model_weights
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from modules.sd_models_config import find_checkpoint_config_near_filename
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from modules.realesrgan_model import get_realesrgan_models
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from modules import devices
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from typing import List
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import piexif
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import piexif.helper
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def upscaler_to_index(name: str):
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try:
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@@ -61,7 +64,7 @@ def decode_base64_to_image(encoding):
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try:
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image = Image.open(BytesIO(base64.b64decode(encoding)))
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return image
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except Exception as err:
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except Exception:
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raise HTTPException(status_code=500, detail="Invalid encoded image")
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def encode_pil_to_base64(image):
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@@ -124,7 +127,7 @@ def api_middleware(app: FastAPI):
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}
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print(f"API error: {request.method}: {request.url} {err}")
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if not isinstance(e, HTTPException): # do not print backtrace on known httpexceptions
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errors.display(e, 'http api')
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errors.display(e, 'http api', [anyio, fastapi, uvicorn, starlette])
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return JSONResponse(status_code=vars(e).get('status_code', 500), content=jsonable_encoder(err))
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@app.middleware("http")
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@@ -209,17 +212,17 @@ class Api:
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script_idx = script_name_to_index(script_name, script_runner.selectable_scripts)
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script = script_runner.selectable_scripts[script_idx]
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return script, script_idx
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def get_scripts_list(self):
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t2ilist = [str(title.lower()) for title in scripts.scripts_txt2img.titles]
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i2ilist = [str(title.lower()) for title in scripts.scripts_img2img.titles]
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return ScriptsList(txt2img = t2ilist, img2img = i2ilist)
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return ScriptsList(txt2img = t2ilist, img2img = i2ilist)
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def get_script(self, script_name, script_runner):
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if script_name is None or script_name == "":
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return None, None
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script_idx = script_name_to_index(script_name, script_runner.scripts)
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return script_runner.scripts[script_idx]
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@@ -254,10 +257,10 @@ class Api:
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if request.alwayson_scripts and (len(request.alwayson_scripts) > 0):
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for alwayson_script_name in request.alwayson_scripts.keys():
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alwayson_script = self.get_script(alwayson_script_name, script_runner)
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if alwayson_script == None:
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if alwayson_script is None:
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raise HTTPException(status_code=422, detail=f"always on script {alwayson_script_name} not found")
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# Selectable script in always on script param check
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if alwayson_script.alwayson == False:
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if not alwayson_script.alwayson:
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raise HTTPException(status_code=422, detail=f"Cannot have a selectable script in the always on scripts params")
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# always on script with no arg should always run so you don't really need to add them to the requests
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if "args" in request.alwayson_scripts[alwayson_script_name]:
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@@ -298,7 +301,7 @@ class Api:
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p.outpath_samples = opts.outdir_txt2img_samples
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shared.state.begin()
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if selectable_scripts != None:
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if selectable_scripts is not None:
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p.script_args = script_args
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processed = scripts.scripts_txt2img.run(p, *p.script_args) # Need to pass args as list here
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else:
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@@ -355,7 +358,7 @@ class Api:
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p.outpath_samples = opts.outdir_img2img_samples
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shared.state.begin()
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if selectable_scripts != None:
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if selectable_scripts is not None:
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p.script_args = script_args
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processed = scripts.scripts_img2img.run(p, *p.script_args) # Need to pass args as list here
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else:
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@@ -398,7 +401,7 @@ class Api:
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return ExtrasBatchImagesResponse(images=list(map(encode_pil_to_base64, result[0])), html_info=result[1])
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def pnginfoapi(self, req: PNGInfoRequest):
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if(not req.image.strip()):
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if not req.image.strip():
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return PNGInfoResponse(info="")
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image = decode_base64_to_image(req.image.strip())
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@@ -428,7 +431,7 @@ class Api:
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progress += 1 / shared.state.job_count * shared.state.sampling_step / shared.state.sampling_steps
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time_since_start = time.time() - shared.state.time_start
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eta = (time_since_start/progress)
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eta = time_since_start / progress
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eta_relative = eta-time_since_start
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progress = min(progress, 1)
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@@ -482,7 +485,7 @@ class Api:
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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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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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