forked from extern/easydiffusion
commit
013860e3c0
@ -17,6 +17,7 @@
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- **Major rewrite of the code** - We've switched to using diffusers under-the-hood, which allows us to release new features faster, and focus on making the UI and installer even easier to use.
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### Detailed changelog
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* 3.0.3 - 31 Aug 2023 - Auto-save images to disk (if enabled by the user) when upscaling/fixing using the buttons on the image.
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* 3.0.3 - 30 Aug 2023 - Allow loading NovelAI-based custom models.
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* 3.0.3 - 30 Aug 2023 - Fix broken VAE tiling. This allows you to create larger images with lesser VRAM usage.
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* 3.0.3 - 30 Aug 2023 - Allow blocking NSFW images using a server-side config. This prevents the browser from generating NSFW images or changing the config. Open `config.yaml` in a text editor (e.g. Notepad), and add `block_nsfw: true` at the end, and save the file.
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@ -61,7 +61,7 @@ APP_CONFIG_DEFAULTS = {
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"ui": {
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"open_browser_on_start": True,
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},
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"test_diffusers": True,
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"use_v3_engine": True,
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}
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IMAGE_EXTENSIONS = [
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@ -116,9 +116,9 @@ def getConfig(default_val=APP_CONFIG_DEFAULTS):
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shutil.move(config_legacy_yaml, config_yaml_path)
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def set_config_on_startup(config: dict):
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if getConfig.__test_diffusers_on_startup is None:
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getConfig.__test_diffusers_on_startup = config.get("test_diffusers", True)
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config["config_on_startup"] = {"test_diffusers": getConfig.__test_diffusers_on_startup}
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if getConfig.__use_v3_engine_on_startup is None:
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getConfig.__use_v3_engine_on_startup = config.get("use_v3_engine", True)
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config["config_on_startup"] = {"use_v3_engine": getConfig.__use_v3_engine_on_startup}
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if os.path.isfile(config_yaml_path):
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try:
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@ -166,7 +166,7 @@ def getConfig(default_val=APP_CONFIG_DEFAULTS):
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return default_val
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getConfig.__test_diffusers_on_startup = None
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getConfig.__use_v3_engine_on_startup = None
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def setConfig(config):
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@ -30,7 +30,7 @@ def init(device):
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from easydiffusion import app
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app_config = app.getConfig()
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context.test_diffusers = app_config.get("test_diffusers", True)
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context.test_diffusers = app_config.get("use_v3_engine", True)
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log.info("Device usage during initialization:")
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get_device_usage(device, log_info=True, process_usage_only=False)
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@ -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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@ -64,7 +66,7 @@ class SetAppConfigRequest(BaseModel, extra=Extra.allow):
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ui_open_browser_on_start: bool = None
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listen_to_network: bool = None
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listen_port: int = None
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test_diffusers: bool = True
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use_v3_engine: bool = True
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def init():
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@ -173,7 +175,7 @@ def set_app_config_internal(req: SetAppConfigRequest):
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config["net"] = {}
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config["net"]["listen_port"] = int(req.listen_port)
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config["test_diffusers"] = req.test_diffusers
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config["use_v3_engine"] = req.use_v3_engine
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for property, property_value in req.dict().items():
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if property_value is not None and property not in req.__fields__ and property not in PROTECTED_CONFIG_KEYS:
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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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|
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|
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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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|
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class RenderTaskData(TaskData):
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vram_usage_level: str = "balanced" # or "low" or "medium"
|
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|
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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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|
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def json(self):
|
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@ -141,6 +149,7 @@ class GenerateImageResponse:
|
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|
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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",
|
||||
|
@ -7,7 +7,7 @@ from datetime import datetime
|
||||
from functools import reduce
|
||||
|
||||
from easydiffusion import app
|
||||
from easydiffusion.types import GenerateImageRequest, TaskData, OutputFormatData
|
||||
from easydiffusion.types import GenerateImageRequest, TaskData, RenderTaskData, OutputFormatData, SaveToDiskData
|
||||
from numpy import base_repr
|
||||
from sdkit.utils import save_dicts, save_images
|
||||
from sdkit.models.model_loader.embeddings import get_embedding_token
|
||||
@ -95,7 +95,7 @@ def format_folder_name(format: str, req: GenerateImageRequest, task_data: TaskDa
|
||||
def format_file_name(
|
||||
format: str,
|
||||
req: GenerateImageRequest,
|
||||
task_data: TaskData,
|
||||
task_data: RenderTaskData,
|
||||
now: float,
|
||||
batch_file_number: int,
|
||||
folder_img_number: ImageNumber,
|
||||
@ -118,13 +118,18 @@ def format_file_name(
|
||||
|
||||
|
||||
def save_images_to_disk(
|
||||
images: list, filtered_images: list, req: GenerateImageRequest, task_data: TaskData, output_format: OutputFormatData
|
||||
images: list,
|
||||
filtered_images: list,
|
||||
req: GenerateImageRequest,
|
||||
task_data: RenderTaskData,
|
||||
output_format: OutputFormatData,
|
||||
save_data: SaveToDiskData,
|
||||
):
|
||||
now = time.time()
|
||||
app_config = app.getConfig()
|
||||
folder_format = app_config.get("folder_format", "$id")
|
||||
save_dir_path = os.path.join(task_data.save_to_disk_path, format_folder_name(folder_format, req, task_data))
|
||||
metadata_entries = get_metadata_entries_for_request(req, task_data, output_format)
|
||||
save_dir_path = os.path.join(save_data.save_to_disk_path, format_folder_name(folder_format, req, task_data))
|
||||
metadata_entries = get_metadata_entries_for_request(req, task_data, output_format, save_data)
|
||||
file_number = calculate_img_number(save_dir_path, task_data)
|
||||
make_filename = make_filename_callback(
|
||||
app_config.get("filename_format", "$p_$tsb64"),
|
||||
@ -143,8 +148,8 @@ def save_images_to_disk(
|
||||
output_quality=output_format.output_quality,
|
||||
output_lossless=output_format.output_lossless,
|
||||
)
|
||||
if task_data.metadata_output_format:
|
||||
for metadata_output_format in task_data.metadata_output_format.split(","):
|
||||
if save_data.metadata_output_format:
|
||||
for metadata_output_format in save_data.metadata_output_format.split(","):
|
||||
if metadata_output_format.lower() in ["json", "txt", "embed"]:
|
||||
save_dicts(
|
||||
metadata_entries,
|
||||
@ -179,8 +184,8 @@ def save_images_to_disk(
|
||||
output_quality=output_format.output_quality,
|
||||
output_lossless=output_format.output_lossless,
|
||||
)
|
||||
if task_data.metadata_output_format:
|
||||
for metadata_output_format in task_data.metadata_output_format.split(","):
|
||||
if save_data.metadata_output_format:
|
||||
for metadata_output_format in save_data.metadata_output_format.split(","):
|
||||
if metadata_output_format.lower() in ["json", "txt", "embed"]:
|
||||
save_dicts(
|
||||
metadata_entries,
|
||||
@ -191,11 +196,13 @@ def save_images_to_disk(
|
||||
)
|
||||
|
||||
|
||||
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):
|
||||
@ -214,13 +221,16 @@ 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)
|
||||
using_diffusers = app_config.get("use_v3_engine", True)
|
||||
|
||||
# Save the metadata in the order defined in TASK_TEXT_MAPPING
|
||||
metadata = {}
|
||||
@ -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")
|
||||
|
||||
|
@ -238,7 +238,7 @@ var PARAMETERS = [
|
||||
default: false,
|
||||
},
|
||||
{
|
||||
id: "test_diffusers",
|
||||
id: "use_v3_engine",
|
||||
type: ParameterType.checkbox,
|
||||
label: "Use the new v3 engine (diffusers)",
|
||||
note:
|
||||
@ -420,7 +420,7 @@ let listenPortField = document.querySelector("#listen_port")
|
||||
let useBetaChannelField = document.querySelector("#use_beta_channel")
|
||||
let uiOpenBrowserOnStartField = document.querySelector("#ui_open_browser_on_start")
|
||||
let confirmDangerousActionsField = document.querySelector("#confirm_dangerous_actions")
|
||||
let testDiffusers = document.querySelector("#test_diffusers")
|
||||
let testDiffusers = document.querySelector("#use_v3_engine")
|
||||
let profileNameField = document.querySelector("#profileName")
|
||||
|
||||
let saveSettingsBtn = document.querySelector("#save-system-settings-btn")
|
||||
@ -465,13 +465,13 @@ async function getAppConfig() {
|
||||
}
|
||||
|
||||
let testDiffusersEnabled = true
|
||||
if (config.test_diffusers === false) {
|
||||
if (config.use_v3_engine === false) {
|
||||
testDiffusersEnabled = false
|
||||
}
|
||||
testDiffusers.checked = testDiffusersEnabled
|
||||
|
||||
if (config.config_on_startup) {
|
||||
if (config.config_on_startup?.test_diffusers) {
|
||||
if (config.config_on_startup?.use_v3_engine) {
|
||||
document.body.classList.add("diffusers-enabled-on-startup")
|
||||
document.body.classList.remove("diffusers-disabled-on-startup")
|
||||
} else {
|
||||
|
Loading…
Reference in New Issue
Block a user