forked from extern/easydiffusion
Save filtered images to disk if required by the API, for e.g. when clicking 'Upscale' or 'Fix Faces on the image
This commit is contained in:
parent
a7c12e61d8
commit
536082c1a6
@ -15,8 +15,10 @@ from easydiffusion.types import (
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FilterImageRequest,
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MergeRequest,
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TaskData,
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RenderTaskData,
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ModelsData,
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OutputFormatData,
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SaveToDiskData,
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convert_legacy_render_req_to_new,
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)
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from easydiffusion.utils import log
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@ -262,9 +264,10 @@ def render_internal(req: dict):
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# separate out the request data into rendering and task-specific data
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render_req: GenerateImageRequest = GenerateImageRequest.parse_obj(req)
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task_data: TaskData = TaskData.parse_obj(req)
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task_data: RenderTaskData = RenderTaskData.parse_obj(req)
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models_data: ModelsData = ModelsData.parse_obj(req)
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output_format: OutputFormatData = OutputFormatData.parse_obj(req)
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save_data: SaveToDiskData = SaveToDiskData.parse_obj(req)
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# Overwrite user specified save path
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config = app.getConfig()
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@ -281,7 +284,7 @@ def render_internal(req: dict):
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)
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# enqueue the task
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task = RenderTask(render_req, task_data, models_data, output_format)
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task = RenderTask(render_req, task_data, models_data, output_format, save_data)
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return enqueue_task(task)
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except HTTPException as e:
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raise e
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@ -292,13 +295,14 @@ def render_internal(req: dict):
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def filter_internal(req: dict):
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try:
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session_id = req.get("session_id", "session")
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filter_req: FilterImageRequest = FilterImageRequest.parse_obj(req)
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task_data: TaskData = TaskData.parse_obj(req)
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models_data: ModelsData = ModelsData.parse_obj(req)
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output_format: OutputFormatData = OutputFormatData.parse_obj(req)
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save_data: SaveToDiskData = SaveToDiskData.parse_obj(req)
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# enqueue the task
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task = FilterTask(filter_req, session_id, models_data, output_format)
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task = FilterTask(filter_req, task_data, models_data, output_format, save_data)
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return enqueue_task(task)
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except HTTPException as e:
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raise e
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@ -1,12 +1,25 @@
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import os
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import json
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import pprint
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import time
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from numpy import base_repr
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from sdkit.filter import apply_filters
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from sdkit.models import load_model
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from sdkit.utils import img_to_base64_str, get_image, log
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from sdkit.utils import img_to_base64_str, get_image, log, save_images
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from easydiffusion import model_manager, runtime
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from easydiffusion.types import FilterImageRequest, FilterImageResponse, ModelsData, OutputFormatData
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from easydiffusion.types import (
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FilterImageRequest,
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FilterImageResponse,
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ModelsData,
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OutputFormatData,
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SaveToDiskData,
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TaskData,
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GenerateImageRequest,
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)
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from easydiffusion.utils.save_utils import format_folder_name
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from .task import Task
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@ -15,13 +28,22 @@ class FilterTask(Task):
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"For applying filters to input images"
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def __init__(
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self, req: FilterImageRequest, session_id: str, models_data: ModelsData, output_format: OutputFormatData
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self,
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req: FilterImageRequest,
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task_data: TaskData,
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models_data: ModelsData,
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output_format: OutputFormatData,
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save_data: SaveToDiskData,
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):
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super().__init__(session_id)
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super().__init__(task_data.session_id)
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task_data.request_id = self.id
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self.request = req
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self.task_data = task_data
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self.models_data = models_data
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self.output_format = output_format
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self.save_data = save_data
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# convert to multi-filter format, if necessary
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if isinstance(req.filter, str):
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@ -34,13 +56,15 @@ class FilterTask(Task):
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def run(self):
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"Runs the image filtering task on the assigned thread"
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from easydiffusion import app
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context = runtime.context
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model_manager.resolve_model_paths(self.models_data)
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model_manager.reload_models_if_necessary(context, self.models_data)
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model_manager.fail_if_models_did_not_load(context)
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print_task_info(self.request, self.models_data, self.output_format)
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print_task_info(self.request, self.models_data, self.output_format, self.save_data)
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if isinstance(self.request.image, list):
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images = [get_image(img) for img in self.request.image]
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@ -50,6 +74,26 @@ class FilterTask(Task):
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images = filter_images(context, images, self.request.filter, self.request.filter_params)
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output_format = self.output_format
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if self.save_data.save_to_disk_path is not None:
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app_config = app.getConfig()
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folder_format = app_config.get("folder_format", "$id")
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dummy_req = GenerateImageRequest()
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img_id = base_repr(int(time.time() * 10000), 36)[-7:] # Base 36 conversion, 0-9, A-Z
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save_dir_path = os.path.join(
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self.save_data.save_to_disk_path, format_folder_name(folder_format, dummy_req, self.task_data)
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)
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save_images(
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images,
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save_dir_path,
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file_name=img_id,
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output_format=output_format.output_format,
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output_quality=output_format.output_quality,
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output_lossless=output_format.output_lossless,
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)
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images = [
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img_to_base64_str(
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img, output_format.output_format, output_format.output_quality, output_format.output_lossless
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@ -60,6 +104,7 @@ class FilterTask(Task):
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res = FilterImageResponse(self.request, self.models_data, images=images)
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res = res.json()
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self.buffer_queue.put(json.dumps(res))
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log.info("Filter task completed")
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self.response = res
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@ -105,11 +150,15 @@ def after_filter(context, filter_name, filter_params, previous_state):
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load_model(context, "realesrgan")
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def print_task_info(req: FilterImageRequest, models_data: ModelsData, output_format: OutputFormatData):
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def print_task_info(
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req: FilterImageRequest, models_data: ModelsData, output_format: OutputFormatData, save_data: SaveToDiskData
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):
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req_str = pprint.pformat({"filter": req.filter, "filter_params": req.filter_params}).replace("[", "\[")
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models_data = pprint.pformat(models_data.dict()).replace("[", "\[")
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output_format = pprint.pformat(output_format.dict()).replace("[", "\[")
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save_data = pprint.pformat(save_data.dict()).replace("[", "\[")
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log.info(f"request: {req_str}")
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log.info(f"models data: {models_data}")
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log.info(f"output format: {output_format}")
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log.info(f"save data: {save_data}")
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@ -4,9 +4,9 @@ import queue
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import time
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from easydiffusion import model_manager, runtime
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from easydiffusion.types import GenerateImageRequest, ModelsData, OutputFormatData
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from easydiffusion.types import GenerateImageRequest, ModelsData, OutputFormatData, SaveToDiskData
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from easydiffusion.types import Image as ResponseImage
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from easydiffusion.types import GenerateImageResponse, TaskData, UserInitiatedStop
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from easydiffusion.types import GenerateImageResponse, RenderTaskData, UserInitiatedStop
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from easydiffusion.utils import get_printable_request, log, save_images_to_disk
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from sdkit.generate import generate_images
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from sdkit.utils import (
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@ -28,15 +28,23 @@ class RenderTask(Task):
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"For image generation"
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def __init__(
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self, req: GenerateImageRequest, task_data: TaskData, models_data: ModelsData, output_format: OutputFormatData
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self,
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req: GenerateImageRequest,
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task_data: RenderTaskData,
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models_data: ModelsData,
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output_format: OutputFormatData,
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save_data: SaveToDiskData,
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):
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super().__init__(task_data.session_id)
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task_data.request_id = self.id
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self.render_request: GenerateImageRequest = req # Initial Request
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self.task_data: TaskData = task_data
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self.render_request = req # Initial Request
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self.task_data = task_data
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self.models_data = models_data
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self.output_format = output_format
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self.save_data = save_data
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self.temp_images: list = [None] * req.num_outputs * (1 if task_data.show_only_filtered_image else 2)
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def run(self):
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@ -87,6 +95,7 @@ class RenderTask(Task):
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self.task_data,
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self.models_data,
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self.output_format,
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self.save_data,
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self.buffer_queue,
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self.temp_images,
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step_callback,
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@ -129,22 +138,23 @@ class RenderTask(Task):
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def make_images(
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context,
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req: GenerateImageRequest,
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task_data: TaskData,
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task_data: RenderTaskData,
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models_data: ModelsData,
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output_format: OutputFormatData,
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save_data: SaveToDiskData,
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data_queue: queue.Queue,
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task_temp_images: list,
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step_callback,
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):
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context.stop_processing = False
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print_task_info(req, task_data, models_data, output_format)
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print_task_info(req, task_data, models_data, output_format, save_data)
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images, seeds = make_images_internal(
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context, req, task_data, models_data, output_format, data_queue, task_temp_images, step_callback
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context, req, task_data, models_data, output_format, save_data, data_queue, task_temp_images, step_callback
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)
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res = GenerateImageResponse(
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req, task_data, models_data, output_format, images=construct_response(images, seeds, output_format)
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req, task_data, models_data, output_format, save_data, images=construct_response(images, seeds, output_format)
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)
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res = res.json()
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data_queue.put(json.dumps(res))
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@ -154,25 +164,32 @@ def make_images(
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def print_task_info(
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req: GenerateImageRequest, task_data: TaskData, models_data: ModelsData, output_format: OutputFormatData
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req: GenerateImageRequest,
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task_data: RenderTaskData,
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models_data: ModelsData,
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output_format: OutputFormatData,
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save_data: SaveToDiskData,
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):
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req_str = pprint.pformat(get_printable_request(req, task_data, output_format)).replace("[", "\[")
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req_str = pprint.pformat(get_printable_request(req, task_data, output_format, save_data)).replace("[", "\[")
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task_str = pprint.pformat(task_data.dict()).replace("[", "\[")
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models_data = pprint.pformat(models_data.dict()).replace("[", "\[")
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output_format = pprint.pformat(output_format.dict()).replace("[", "\[")
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save_data = pprint.pformat(save_data.dict()).replace("[", "\[")
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log.info(f"request: {req_str}")
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log.info(f"task data: {task_str}")
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# log.info(f"models data: {models_data}")
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log.info(f"output format: {output_format}")
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log.info(f"save data: {save_data}")
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def make_images_internal(
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context,
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req: GenerateImageRequest,
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task_data: TaskData,
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task_data: RenderTaskData,
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models_data: ModelsData,
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output_format: OutputFormatData,
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save_data: SaveToDiskData,
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data_queue: queue.Queue,
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task_temp_images: list,
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step_callback,
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@ -194,8 +211,8 @@ def make_images_internal(
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filters, filter_params = task_data.filters, task_data.filter_params
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filtered_images = filter_images(context, images, filters, filter_params) if not user_stopped else images
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if task_data.save_to_disk_path is not None:
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save_images_to_disk(images, filtered_images, req, task_data, output_format)
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if save_data.save_to_disk_path is not None:
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save_images_to_disk(images, filtered_images, req, task_data, output_format, save_data)
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seeds = [*range(req.seed, req.seed + len(images))]
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if task_data.show_only_filtered_image or filtered_images is images:
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@ -207,7 +224,7 @@ def make_images_internal(
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def generate_images_internal(
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context,
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req: GenerateImageRequest,
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task_data: TaskData,
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task_data: RenderTaskData,
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models_data: ModelsData,
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data_queue: queue.Queue,
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task_temp_images: list,
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@ -298,7 +315,7 @@ def construct_response(images: list, seeds: list, output_format: OutputFormatDat
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def make_step_callback(
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context,
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req: GenerateImageRequest,
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task_data: TaskData,
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task_data: RenderTaskData,
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data_queue: queue.Queue,
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task_temp_images: list,
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step_callback,
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@ -58,10 +58,17 @@ class OutputFormatData(BaseModel):
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output_lossless: bool = False
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class SaveToDiskData(BaseModel):
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save_to_disk_path: str = None
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metadata_output_format: str = "txt" # or "json"
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class TaskData(BaseModel):
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request_id: str = None
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session_id: str = "session"
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save_to_disk_path: str = None
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class RenderTaskData(TaskData):
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vram_usage_level: str = "balanced" # or "low" or "medium"
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use_face_correction: Union[str, List[str]] = None # or "GFPGANv1.3"
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@ -80,7 +87,6 @@ class TaskData(BaseModel):
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show_only_filtered_image: bool = False
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block_nsfw: bool = False
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metadata_output_format: str = "txt" # or "json"
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stream_image_progress: bool = False
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stream_image_progress_interval: int = 5
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clip_skip: bool = False
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@ -126,12 +132,14 @@ class GenerateImageResponse:
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task_data: TaskData,
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models_data: ModelsData,
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output_format: OutputFormatData,
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save_data: SaveToDiskData,
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images: list,
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):
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self.render_request = render_request
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self.task_data = task_data
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self.models_data = models_data
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self.output_format = output_format
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self.save_data = save_data
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self.images = images
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def json(self):
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@ -141,6 +149,7 @@ class GenerateImageResponse:
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task_data = self.task_data.dict()
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task_data.update(self.output_format.dict())
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task_data.update(self.save_data.dict())
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res = {
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"status": "succeeded",
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@ -7,7 +7,7 @@ from datetime import datetime
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from functools import reduce
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from easydiffusion import app
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from easydiffusion.types import GenerateImageRequest, TaskData, OutputFormatData
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from easydiffusion.types import GenerateImageRequest, TaskData, RenderTaskData, OutputFormatData, SaveToDiskData
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from numpy import base_repr
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from sdkit.utils import save_dicts, save_images
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from sdkit.models.model_loader.embeddings import get_embedding_token
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@ -95,7 +95,7 @@ def format_folder_name(format: str, req: GenerateImageRequest, task_data: TaskDa
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def format_file_name(
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format: str,
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req: GenerateImageRequest,
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task_data: TaskData,
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task_data: RenderTaskData,
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now: float,
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batch_file_number: int,
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folder_img_number: ImageNumber,
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@ -118,13 +118,18 @@ def format_file_name(
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def save_images_to_disk(
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images: list, filtered_images: list, req: GenerateImageRequest, task_data: TaskData, output_format: OutputFormatData
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images: list,
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filtered_images: list,
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req: GenerateImageRequest,
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task_data: RenderTaskData,
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output_format: OutputFormatData,
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save_data: SaveToDiskData,
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):
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now = time.time()
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app_config = app.getConfig()
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folder_format = app_config.get("folder_format", "$id")
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save_dir_path = os.path.join(task_data.save_to_disk_path, format_folder_name(folder_format, req, task_data))
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metadata_entries = get_metadata_entries_for_request(req, task_data, output_format)
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save_dir_path = os.path.join(save_data.save_to_disk_path, format_folder_name(folder_format, req, task_data))
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metadata_entries = get_metadata_entries_for_request(req, task_data, output_format, save_data)
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file_number = calculate_img_number(save_dir_path, task_data)
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make_filename = make_filename_callback(
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app_config.get("filename_format", "$p_$tsb64"),
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@ -143,8 +148,8 @@ def save_images_to_disk(
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output_quality=output_format.output_quality,
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output_lossless=output_format.output_lossless,
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)
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if task_data.metadata_output_format:
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for metadata_output_format in task_data.metadata_output_format.split(","):
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if save_data.metadata_output_format:
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for metadata_output_format in save_data.metadata_output_format.split(","):
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if metadata_output_format.lower() in ["json", "txt", "embed"]:
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save_dicts(
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metadata_entries,
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@ -179,8 +184,8 @@ def save_images_to_disk(
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output_quality=output_format.output_quality,
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output_lossless=output_format.output_lossless,
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)
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if task_data.metadata_output_format:
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for metadata_output_format in task_data.metadata_output_format.split(","):
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if save_data.metadata_output_format:
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for metadata_output_format in save_data.metadata_output_format.split(","):
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if metadata_output_format.lower() in ["json", "txt", "embed"]:
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save_dicts(
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metadata_entries,
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@ -191,11 +196,13 @@ def save_images_to_disk(
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)
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|
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def get_metadata_entries_for_request(req: GenerateImageRequest, task_data: TaskData, output_format: OutputFormatData):
|
||||
metadata = get_printable_request(req, task_data, output_format)
|
||||
def get_metadata_entries_for_request(
|
||||
req: GenerateImageRequest, task_data: RenderTaskData, output_format: OutputFormatData, save_data: SaveToDiskData
|
||||
):
|
||||
metadata = get_printable_request(req, task_data, output_format, save_data)
|
||||
|
||||
# if text, format it in the text format expected by the UI
|
||||
is_txt_format = task_data.metadata_output_format and "txt" in task_data.metadata_output_format.lower().split(",")
|
||||
is_txt_format = save_data.metadata_output_format and "txt" in save_data.metadata_output_format.lower().split(",")
|
||||
if is_txt_format:
|
||||
|
||||
def format_value(value):
|
||||
@ -214,10 +221,13 @@ def get_metadata_entries_for_request(req: GenerateImageRequest, task_data: TaskD
|
||||
return entries
|
||||
|
||||
|
||||
def get_printable_request(req: GenerateImageRequest, task_data: TaskData, output_format: OutputFormatData):
|
||||
def get_printable_request(
|
||||
req: GenerateImageRequest, task_data: RenderTaskData, output_format: OutputFormatData, save_data: SaveToDiskData
|
||||
):
|
||||
req_metadata = req.dict()
|
||||
task_data_metadata = task_data.dict()
|
||||
task_data_metadata.update(output_format.dict())
|
||||
task_data_metadata.update(save_data.dict())
|
||||
|
||||
app_config = app.getConfig()
|
||||
using_diffusers = app_config.get("test_diffusers", True)
|
||||
@ -240,7 +250,9 @@ def get_printable_request(req: GenerateImageRequest, task_data: TaskData, output
|
||||
# Check if the filename has the right extension
|
||||
if not any(map(lambda ext: entry.name.endswith(ext), embeddings_extensions)):
|
||||
continue
|
||||
embedding_name_regex = regex.compile(r"(^|[\s,])" + regex.escape(get_embedding_token(entry.name)) + r"([+-]*$|[\s,]|[+-]+[\s,])")
|
||||
embedding_name_regex = regex.compile(
|
||||
r"(^|[\s,])" + regex.escape(get_embedding_token(entry.name)) + r"([+-]*$|[\s,]|[+-]+[\s,])"
|
||||
)
|
||||
if embedding_name_regex.search(req.prompt) or embedding_name_regex.search(req.negative_prompt):
|
||||
used_embeddings.append(entry.path)
|
||||
elif entry.is_dir():
|
||||
@ -269,7 +281,17 @@ def get_printable_request(req: GenerateImageRequest, task_data: TaskData, output
|
||||
del metadata[key]
|
||||
else:
|
||||
for key in (
|
||||
x for x in ["use_lora_model", "lora_alpha", "clip_skip", "tiling", "latent_upscaler_steps", "use_controlnet_model", "control_filter_to_apply"] if x in metadata
|
||||
x
|
||||
for x in [
|
||||
"use_lora_model",
|
||||
"lora_alpha",
|
||||
"clip_skip",
|
||||
"tiling",
|
||||
"latent_upscaler_steps",
|
||||
"use_controlnet_model",
|
||||
"control_filter_to_apply",
|
||||
]
|
||||
if x in metadata
|
||||
):
|
||||
del metadata[key]
|
||||
|
||||
@ -279,7 +301,7 @@ def get_printable_request(req: GenerateImageRequest, task_data: TaskData, output
|
||||
def make_filename_callback(
|
||||
filename_format: str,
|
||||
req: GenerateImageRequest,
|
||||
task_data: TaskData,
|
||||
task_data: RenderTaskData,
|
||||
folder_img_number: int,
|
||||
suffix=None,
|
||||
now=None,
|
||||
@ -296,7 +318,7 @@ def make_filename_callback(
|
||||
return make_filename
|
||||
|
||||
|
||||
def _calculate_img_number(save_dir_path: str, task_data: TaskData):
|
||||
def _calculate_img_number(save_dir_path: str, task_data: RenderTaskData):
|
||||
def get_highest_img_number(accumulator: int, file: os.DirEntry) -> int:
|
||||
if not file.is_file:
|
||||
return accumulator
|
||||
@ -340,5 +362,5 @@ def _calculate_img_number(save_dir_path: str, task_data: TaskData):
|
||||
_calculate_img_number.session_img_numbers = {}
|
||||
|
||||
|
||||
def calculate_img_number(save_dir_path: str, task_data: TaskData):
|
||||
def calculate_img_number(save_dir_path: str, task_data: RenderTaskData):
|
||||
return ImageNumber(lambda: _calculate_img_number(save_dir_path, task_data))
|
||||
|
@ -852,6 +852,10 @@ function applyInlineFilter(filterName, path, filterParams, img, statusText, tool
|
||||
}
|
||||
filterReq.model_paths[filterName] = path
|
||||
|
||||
if (saveToDiskField.checked && diskPathField.value.trim() !== "") {
|
||||
filterReq.save_to_disk_path = diskPathField.value.trim()
|
||||
}
|
||||
|
||||
tools.spinnerStatus.innerText = statusText
|
||||
tools.spinner.classList.remove("displayNone")
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user