forked from extern/easydiffusion
Merge branch 'beta' of github.com:cmdr2/stable-diffusion-ui into beta
This commit is contained in:
commit
6529240808
@ -10,7 +10,7 @@ from typing import List, Union
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from fastapi import FastAPI, HTTPException
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from fastapi.staticfiles import StaticFiles
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from starlette.responses import FileResponse, JSONResponse, StreamingResponse
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from pydantic import BaseModel
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from pydantic import BaseModel, Extra
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from easydiffusion import app, model_manager, task_manager
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from easydiffusion.types import TaskData, GenerateImageRequest, MergeRequest
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@ -44,7 +44,7 @@ class NoCacheStaticFiles(StaticFiles):
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return super().is_not_modified(response_headers, request_headers)
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class SetAppConfigRequest(BaseModel):
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class SetAppConfigRequest(BaseModel, extra=Extra.allow):
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update_branch: str = None
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render_devices: Union[List[str], List[int], str, int] = None
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model_vae: str = None
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@ -136,6 +136,10 @@ def set_app_config_internal(req: SetAppConfigRequest):
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config["test_diffusers"] = req.test_diffusers
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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__:
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config[property] = property_value
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try:
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app.setConfig(config)
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@ -1,13 +1,18 @@
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import os
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import time
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import base64
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import re
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from easydiffusion import app
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from easydiffusion.types import TaskData, GenerateImageRequest
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from functools import reduce
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from datetime import datetime
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from sdkit.utils import save_images, save_dicts
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from numpy import base_repr
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filename_regex = re.compile("[^a-zA-Z0-9._-]")
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img_number_regex = re.compile("([0-9]{5,})")
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# keep in sync with `ui/media/js/dnd.js`
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TASK_TEXT_MAPPING = {
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@ -28,15 +33,89 @@ TASK_TEXT_MAPPING = {
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"use_hypernetwork_model": "Hypernetwork model",
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"hypernetwork_strength": "Hypernetwork Strength",
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"use_lora_model": "LoRA model",
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# "lora_alpha": "LoRA Strength",
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"lora_alpha": "LoRA Strength",
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}
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time_placeholders = {
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"$yyyy": "%Y",
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"$MM": "%m",
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"$dd": "%d",
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"$HH": "%H",
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"$mm": "%M",
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"$ss": "%S",
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}
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other_placeholders = {
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"$id": lambda req, task_data: filename_regex.sub("_", task_data.session_id),
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"$p": lambda req, task_data: filename_regex.sub("_", req.prompt)[:50],
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"$s": lambda req, task_data: str(req.seed),
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}
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class ImageNumber:
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_factory = None
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_evaluated = False
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def __init__(self, factory):
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self._factory = factory
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self._evaluated = None
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def __call__(self) -> int:
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if self._evaluated is None:
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self._evaluated = self._factory()
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return self._evaluated
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def format_placeholders(format: str, req: GenerateImageRequest, task_data: TaskData, now = None):
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if now is None:
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now = time.time()
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for placeholder, time_format in time_placeholders.items():
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if placeholder in format:
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format = format.replace(placeholder, datetime.fromtimestamp(now).strftime(time_format))
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for placeholder, replace_func in other_placeholders.items():
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if placeholder in format:
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format = format.replace(placeholder, replace_func(req, task_data))
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return format
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def format_folder_name(format: str, req: GenerateImageRequest, task_data: TaskData):
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format = format_placeholders(format, req, task_data)
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return filename_regex.sub("_", format)
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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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now: float,
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batch_file_number: int,
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folder_img_number: ImageNumber,
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):
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format = format_placeholders(format, req, task_data, now)
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if "$n" in format:
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format = format.replace("$n", f"{folder_img_number():05}")
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if "$tsb64" in format:
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img_id = base_repr(int(now * 10000), 36)[-7:] + base_repr(int(batch_file_number), 36) # Base 36 conversion, 0-9, A-Z
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format = format.replace("$tsb64", img_id)
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if "$ts" in format:
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format = format.replace("$ts", str(int(now * 1000) + batch_file_number))
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return filename_regex.sub("_", format)
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def save_images_to_disk(images: list, filtered_images: list, req: GenerateImageRequest, task_data: TaskData):
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now = time.time()
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save_dir_path = os.path.join(task_data.save_to_disk_path, filename_regex.sub("_", task_data.session_id))
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app_config = app.getConfig()
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folder_format = app_config.get("folder_format", "$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)
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make_filename = make_filename_callback(req, now=now)
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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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req,
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task_data,
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file_number,
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now=now,
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)
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if task_data.show_only_filtered_image or filtered_images is images:
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save_images(
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@ -58,7 +137,7 @@ def save_images_to_disk(images: list, filtered_images: list, req: GenerateImageR
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file_format=task_data.output_format,
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)
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else:
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make_filter_filename = make_filename_callback(req, now=now, suffix="filtered")
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make_filter_filename = make_filename_callback(req, task_data, file_number, now=now, suffix="filtered")
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save_images(
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images,
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@ -105,9 +184,6 @@ def get_metadata_entries_for_request(req: GenerateImageRequest, task_data: TaskD
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if task_data.use_lora_model is None:
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if "lora_alpha" in metadata:
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del metadata["lora_alpha"]
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from easydiffusion import app
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app_config = app.getConfig()
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if not app_config.get("test_diffusers", False) and "use_lora_model" in metadata:
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del metadata["use_lora_model"]
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@ -133,16 +209,66 @@ def get_printable_request(req: GenerateImageRequest):
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return metadata
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def make_filename_callback(req: GenerateImageRequest, suffix=None, now=None):
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def make_filename_callback(
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filename_format: str,
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req: GenerateImageRequest,
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task_data: TaskData,
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folder_img_number: int,
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suffix=None,
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now=None,
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):
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if now is None:
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now = time.time()
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def make_filename(i):
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img_id = base_repr(int(now * 10000), 36)[-7:] + base_repr(int(i),36) # Base 36 conversion, 0-9, A-Z
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prompt_flattened = filename_regex.sub("_", req.prompt)[:50]
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name = f"{prompt_flattened}_{img_id}"
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name = format_file_name(filename_format, req, task_data, now, i, folder_img_number)
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name = name if suffix is None else f"{name}_{suffix}"
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return name
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return make_filename
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def _calculate_img_number(save_dir_path: str, task_data: TaskData):
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def get_highest_img_number(accumulator: int, file: os.DirEntry) -> int:
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if not file.is_file:
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return accumulator
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if len(list(filter(lambda e: file.name.endswith(e), app.IMAGE_EXTENSIONS))) == 0:
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return accumulator
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get_highest_img_number.number_of_images = get_highest_img_number.number_of_images + 1
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number_match = img_number_regex.match(file.name)
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if not number_match:
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return accumulator
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file_number = number_match.group().lstrip('0')
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# Handle 00000
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return int(file_number) if file_number else 0
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get_highest_img_number.number_of_images = 0
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highest_file_number = -1
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if os.path.isdir(save_dir_path):
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existing_files = list(os.scandir(save_dir_path))
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highest_file_number = reduce(get_highest_img_number, existing_files, -1)
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calculated_img_number = max(highest_file_number, get_highest_img_number.number_of_images - 1)
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if task_data.session_id in _calculate_img_number.session_img_numbers:
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calculated_img_number = max(
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_calculate_img_number.session_img_numbers[task_data.session_id],
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calculated_img_number,
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)
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calculated_img_number = calculated_img_number + 1
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_calculate_img_number.session_img_numbers[task_data.session_id] = calculated_img_number
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return calculated_img_number
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_calculate_img_number.session_img_numbers = {}
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def calculate_img_number(save_dir_path: str, task_data: TaskData):
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return ImageNumber(lambda: _calculate_img_number(save_dir_path, task_data))
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@ -221,7 +221,7 @@
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<input id="lora_model" type="text" spellcheck="false" autocomplete="off" class="model-filter" data-path="" />
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</td></tr>
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<tr id="lora_alpha_container" class="pl-5">
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<td><label for="lora_alpha_slider">LoRA strength:</label></td>
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<td><label for="lora_alpha_slider">LoRA Strength:</label></td>
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<td> <input id="lora_alpha_slider" name="lora_alpha_slider" class="editor-slider" value="50" type="range" min="0" max="100"> <input id="lora_alpha" name="lora_alpha" size="4" pattern="^[0-9\.]+$" onkeypress="preventNonNumericalInput(event)"><br/></td>
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</tr>
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<tr class="pl-5"><td><label for="hypernetwork_model">Hypernetwork:</i></label></td><td>
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|
@ -245,6 +245,14 @@ const TASK_MAPPING = {
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readUI: () => loraModelField.value,
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parse: (val) => val
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},
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lora_alpha: { name: 'LoRA Strength',
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setUI: (lora_alpha) => {
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loraAlphaField.value = lora_alpha
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updateLoraAlphaSlider()
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},
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readUI: () => parseFloat(loraAlphaField.value),
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parse: (val) => parseFloat(val)
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},
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use_hypernetwork_model: { name: 'Hypernetwork model',
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setUI: (use_hypernetwork_model) => {
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const oldVal = hypernetworkModelField.value
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|
@ -15,10 +15,13 @@
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* JSDoc style
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* @typedef {object} Parameter
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* @property {string} id
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* @property {ParameterType} type
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* @property {string} label
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* @property {?string} note
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* @property {keyof ParameterType} type
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* @property {string | (parameter: Parameter) => (HTMLElement | string)} label
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* @property {string | (parameter: Parameter) => (HTMLElement | string) | undefined} note
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* @property {(parameter: Parameter) => (HTMLElement | string) | undefined} render
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* @property {string | undefined} icon
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* @property {number|boolean|string} default
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* @property {boolean?} saveInAppConfig
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*/
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@ -118,6 +121,7 @@ var PARAMETERS = [
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note: "starts the default browser on startup",
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icon: "fa-window-restore",
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default: true,
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saveInAppConfig: true,
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},
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{
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id: "vram_usage_level",
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@ -179,6 +183,7 @@ var PARAMETERS = [
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note: "Other devices on your network can access this web page",
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icon: "fa-network-wired",
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default: true,
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saveInAppConfig: true,
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},
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{
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id: "listen_port",
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@ -188,7 +193,8 @@ var PARAMETERS = [
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icon: "fa-anchor",
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render: (parameter) => {
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return `<input id="${parameter.id}" name="${parameter.id}" size="6" value="9000" onkeypress="preventNonNumericalInput(event)">`
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}
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},
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saveInAppConfig: true,
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},
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{
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id: "use_beta_channel",
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@ -205,6 +211,7 @@ var PARAMETERS = [
|
||||
note: "<b>Experimental! Can have bugs!</b> Use upcoming features (like LoRA) in our new engine. Please press Save, then restart the program after changing this.",
|
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icon: "fa-bolt",
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default: false,
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saveInAppConfig: true,
|
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},
|
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];
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|
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@ -228,6 +235,10 @@ function sliderUpdate(event) {
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||||
}
|
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}
|
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|
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/**
|
||||
* @param {Parameter} parameter
|
||||
* @returns {string | HTMLElement}
|
||||
*/
|
||||
function getParameterElement(parameter) {
|
||||
switch (parameter.type) {
|
||||
case ParameterType.checkbox:
|
||||
@ -243,29 +254,74 @@ function getParameterElement(parameter) {
|
||||
case ParameterType.custom:
|
||||
return parameter.render(parameter)
|
||||
default:
|
||||
console.error(`Invalid type for parameter ${parameter.id}`);
|
||||
console.error(`Invalid type ${parameter.type} for parameter ${parameter.id}`);
|
||||
return "ERROR: Invalid Type"
|
||||
}
|
||||
}
|
||||
|
||||
let parametersTable = document.querySelector("#system-settings .parameters-table")
|
||||
/* fill in the system settings popup table */
|
||||
function initParameters() {
|
||||
PARAMETERS.forEach(parameter => {
|
||||
var element = getParameterElement(parameter)
|
||||
var note = parameter.note ? `<small>${parameter.note}</small>` : "";
|
||||
var icon = parameter.icon ? `<i class="fa ${parameter.icon}"></i>` : "";
|
||||
var newrow = document.createElement('div')
|
||||
newrow.innerHTML = `
|
||||
<div>${icon}</div>
|
||||
<div><label for="${parameter.id}">${parameter.label}</label>${note}</div>
|
||||
<div>${element}</div>`
|
||||
/**
|
||||
* fill in the system settings popup table
|
||||
* @param {Array<Parameter> | undefined} parameters
|
||||
* */
|
||||
function initParameters(parameters) {
|
||||
parameters.forEach(parameter => {
|
||||
const element = getParameterElement(parameter)
|
||||
const elementWrapper = createElement('div')
|
||||
if (element instanceof Node) {
|
||||
elementWrapper.appendChild(element)
|
||||
} else {
|
||||
elementWrapper.innerHTML = element
|
||||
}
|
||||
|
||||
const note = typeof parameter.note === 'function' ? parameter.note(parameter) : parameter.note
|
||||
const noteElements = []
|
||||
if (note) {
|
||||
const noteElement = createElement('small')
|
||||
if (note instanceof Node) {
|
||||
noteElement.appendChild(note)
|
||||
} else {
|
||||
noteElement.innerHTML = note || ''
|
||||
}
|
||||
noteElements.push(noteElement)
|
||||
}
|
||||
|
||||
const icon = parameter.icon ? [createElement('i', undefined, ['fa', parameter.icon])] : []
|
||||
|
||||
const label = typeof parameter.label === 'function' ? parameter.label(parameter) : parameter.label
|
||||
const labelElement = createElement('label', { for: parameter.id })
|
||||
if (label instanceof Node) {
|
||||
labelElement.appendChild(label)
|
||||
} else {
|
||||
labelElement.innerHTML = label
|
||||
}
|
||||
|
||||
const newrow = createElement(
|
||||
'div',
|
||||
{ 'data-setting-id': parameter.id, 'data-save-in-app-config': parameter.saveInAppConfig },
|
||||
undefined,
|
||||
[
|
||||
createElement('div', undefined, undefined, icon),
|
||||
createElement('div', undefined, undefined, [labelElement, ...noteElements]),
|
||||
elementWrapper,
|
||||
]
|
||||
)
|
||||
parametersTable.appendChild(newrow)
|
||||
parameter.settingsEntry = newrow
|
||||
})
|
||||
}
|
||||
|
||||
initParameters()
|
||||
initParameters(PARAMETERS)
|
||||
|
||||
// listen to parameters from plugins
|
||||
PARAMETERS.addEventListener('push', (...items) => {
|
||||
initParameters(items)
|
||||
|
||||
if (items.find(item => item.saveInAppConfig)) {
|
||||
console.log('Reloading app config for new parameters', items.map(p => p.id))
|
||||
getAppConfig()
|
||||
}
|
||||
})
|
||||
|
||||
let vramUsageLevelField = document.querySelector('#vram_usage_level')
|
||||
let useCPUField = document.querySelector('#use_cpu')
|
||||
@ -330,9 +386,44 @@ async function getAppConfig() {
|
||||
document.querySelector("#lora_alpha_container").style.display = (testDiffusers.checked && loraModelField.value !== "" ? '' : 'none')
|
||||
}
|
||||
|
||||
Array.from(parametersTable.children).forEach(parameterRow => {
|
||||
if (parameterRow.dataset.settingId in config && parameterRow.dataset.saveInAppConfig === 'true') {
|
||||
const configValue = config[parameterRow.dataset.settingId]
|
||||
const parameterElement = document.getElementById(parameterRow.dataset.settingId) ||
|
||||
parameterRow.querySelector('input') || parameterRow.querySelector('select')
|
||||
|
||||
switch (parameterElement?.tagName) {
|
||||
case 'INPUT':
|
||||
if (parameterElement.type === 'checkbox') {
|
||||
parameterElement.checked = configValue
|
||||
} else {
|
||||
parameterElement.value = configValue
|
||||
}
|
||||
parameterElement.dispatchEvent(new Event('change'))
|
||||
break
|
||||
case 'SELECT':
|
||||
if (Array.isArray(configValue)) {
|
||||
Array.from(parameterElement.options).forEach(option => {
|
||||
if (configValue.includes(option.value || option.text)) {
|
||||
option.selected = true
|
||||
}
|
||||
})
|
||||
} else {
|
||||
parameterElement.value = configValue
|
||||
}
|
||||
parameterElement.dispatchEvent(new Event('change'))
|
||||
break
|
||||
}
|
||||
}
|
||||
})
|
||||
|
||||
console.log('get config status response', config)
|
||||
|
||||
return config
|
||||
} catch (e) {
|
||||
console.log('get config status error', e)
|
||||
|
||||
return {}
|
||||
}
|
||||
}
|
||||
|
||||
@ -492,16 +583,43 @@ saveSettingsBtn.addEventListener('click', function() {
|
||||
alert('The network port must be a number from 1 to 65535')
|
||||
return
|
||||
}
|
||||
let updateBranch = (useBetaChannelField.checked ? 'beta' : 'main')
|
||||
changeAppConfig({
|
||||
const updateBranch = (useBetaChannelField.checked ? 'beta' : 'main')
|
||||
|
||||
const updateAppConfigRequest = {
|
||||
'render_devices': getCurrentRenderDeviceSelection(),
|
||||
'update_branch': updateBranch,
|
||||
'ui_open_browser_on_start': uiOpenBrowserOnStartField.checked,
|
||||
'listen_to_network': listenToNetworkField.checked,
|
||||
'listen_port': listenPortField.value,
|
||||
'test_diffusers': testDiffusers.checked
|
||||
})
|
||||
saveSettingsBtn.classList.add('active')
|
||||
asyncDelay(300).then(() => saveSettingsBtn.classList.remove('active'))
|
||||
})
|
||||
}
|
||||
|
||||
Array.from(parametersTable.children).forEach(parameterRow => {
|
||||
if (parameterRow.dataset.saveInAppConfig === 'true') {
|
||||
const parameterElement = document.getElementById(parameterRow.dataset.settingId) ||
|
||||
parameterRow.querySelector('input') || parameterRow.querySelector('select')
|
||||
|
||||
switch (parameterElement?.tagName) {
|
||||
case 'INPUT':
|
||||
if (parameterElement.type === 'checkbox') {
|
||||
updateAppConfigRequest[parameterRow.dataset.settingId] = parameterElement.checked
|
||||
} else {
|
||||
updateAppConfigRequest[parameterRow.dataset.settingId] = parameterElement.value
|
||||
}
|
||||
break
|
||||
case 'SELECT':
|
||||
if (parameterElement.multiple) {
|
||||
updateAppConfigRequest[parameterRow.dataset.settingId] = Array.from(parameterElement.options)
|
||||
.filter(option => option.selected)
|
||||
.map(option => option.value || option.text)
|
||||
} else {
|
||||
updateAppConfigRequest[parameterRow.dataset.settingId] = parameterElement.value
|
||||
}
|
||||
break
|
||||
default:
|
||||
console.error(`Setting parameter ${parameterRow.dataset.settingId} couldn't be saved to app.config - element #${parameter.id} is a <${parameterElement?.tagName} /> instead of a <input /> or a <select />!`)
|
||||
break
|
||||
}
|
||||
}
|
||||
})
|
||||
|
||||
const savePromise = changeAppConfig(updateAppConfigRequest)
|
||||
saveSettingsBtn.classList.add('active')
|
||||
Promise.all([savePromise, asyncDelay(300)]).then(() => saveSettingsBtn.classList.remove('active'))
|
||||
})
|
||||
|
@ -683,14 +683,16 @@ class ServiceContainer {
|
||||
* @param {string} tag
|
||||
* @param {object} attributes
|
||||
* @param {string | Array<string>} classes
|
||||
* @param {string | HTMLElement | Array<string | HTMLElement>}
|
||||
* @param {string | Node | Array<string | Node>}
|
||||
* @returns {HTMLElement}
|
||||
*/
|
||||
function createElement(tagName, attributes, classes, textOrElements) {
|
||||
const element = document.createElement(tagName)
|
||||
if (attributes) {
|
||||
Object.entries(attributes).forEach(([key, value]) => {
|
||||
element.setAttribute(key, value)
|
||||
if (value !== undefined && value !== null) {
|
||||
element.setAttribute(key, value)
|
||||
}
|
||||
});
|
||||
}
|
||||
if (classes) {
|
||||
@ -699,7 +701,7 @@ function createElement(tagName, attributes, classes, textOrElements) {
|
||||
if (textOrElements) {
|
||||
const children = Array.isArray(textOrElements) ? textOrElements : [textOrElements]
|
||||
children.forEach(textOrElem => {
|
||||
if (textOrElem instanceof HTMLElement) {
|
||||
if (textOrElem instanceof Node) {
|
||||
element.appendChild(textOrElem)
|
||||
} else {
|
||||
element.appendChild(document.createTextNode(textOrElem))
|
||||
@ -708,3 +710,19 @@ function createElement(tagName, attributes, classes, textOrElements) {
|
||||
}
|
||||
return element
|
||||
}
|
||||
|
||||
/**
|
||||
* Add a listener for arrays
|
||||
* @param {keyof Array} method
|
||||
* @param {(args) => {}} callback
|
||||
*/
|
||||
Array.prototype.addEventListener = function(method, callback) {
|
||||
const originalFunction = this[method]
|
||||
if (originalFunction) {
|
||||
this[method] = function() {
|
||||
console.log(`Array.${method}()`, arguments)
|
||||
originalFunction.apply(this, arguments)
|
||||
callback.apply(this, arguments)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
Loading…
Reference in New Issue
Block a user