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https://github.com/karl0ss/ai_image_frame_server.git
synced 2025-07-05 05:59:08 +01:00
Compare commits
No commits in common. "main" and "0.2.3" have entirely different histories.
@ -1,5 +1,5 @@
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[tool.bumpversion]
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current_version = "0.2.8"
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current_version = "0.2.3"
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parse = "(?P<major>\\d+)\\.(?P<minor>\\d+)\\.(?P<patch>\\d+)"
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serialize = ["{major}.{minor}.{patch}"]
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search = "{current_version}"
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1
.gitignore
vendored
1
.gitignore
vendored
@ -10,4 +10,3 @@ prompts_log.jsonl
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publish.sh
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test.py
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.vscode/launch.json
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favourites.json
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@ -164,7 +164,7 @@ def create_image(prompt: str | None = None, model: str = "Random") -> None:
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seed_param="seed",
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save_node="CivitAI Image Saver",
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save_param="filename",
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model_node="UnetLoaderGGUFAdvancedDisTorchMultiGPU",
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model_node="Unet Loader (GGUF)",
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model_param="unet_name",
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model=model
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)
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@ -3,7 +3,6 @@ import logging
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import litellm
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import nest_asyncio
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from libs.generic import load_recent_prompts, load_config
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import re
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nest_asyncio.apply()
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logging.basicConfig(level=logging.INFO)
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@ -75,10 +74,5 @@ def create_prompt_on_openwebui(prompt: str, topic: str = "random") -> str:
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# api_key=user_config["openwebui"]["api_key"],
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# )
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# prompt = response["choices"][0]["message"]["content"].strip('"')
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match = re.search(r'"([^"]+)"', prompt)
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if not match:
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match = re.search(r":\s*\n*\s*(.+)", prompt)
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if match:
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prompt = match.group(1)
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logging.debug(prompt)
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return prompt
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return prompt.split(": ")[-1]
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@ -1,50 +1,15 @@
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from flask import Blueprint, render_template, jsonify, request
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from flask import Blueprint, render_template
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import os
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import json
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bp = Blueprint("gallery_routes", __name__)
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image_folder = "./output"
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favourites_file = "./favourites.json"
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def get_favourites():
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if not os.path.exists(favourites_file):
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return []
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with open(favourites_file, 'r') as f:
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return json.load(f)
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def save_favourites(favourites):
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with open(favourites_file, 'w') as f:
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json.dump(favourites, f)
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@bp.route("/images", methods=["GET"])
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def gallery():
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favourites = get_favourites()
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images = [
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{"filename": f, "favourited": f in favourites}
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{"filename": f}
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for f in os.listdir(image_folder)
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if f.lower().endswith(("png", "jpg", "jpeg", "gif"))
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]
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images = sorted(images, key=lambda x: os.path.getmtime(os.path.join(image_folder, x["filename"])), reverse=True)
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return render_template("gallery.html", images=images)
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@bp.route("/favourites", methods=["GET"])
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def get_favourites_route():
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return jsonify(get_favourites())
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@bp.route("/favourites/toggle", methods=["POST"])
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def toggle_favourite():
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data = request.get_json()
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filename = data.get("filename")
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if not filename:
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return jsonify({"status": "error", "message": "Filename missing"}), 400
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favourites = get_favourites()
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is_favourited = False
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if filename in favourites:
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favourites.remove(filename)
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else:
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favourites.append(filename)
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is_favourited = True
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save_favourites(favourites)
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return jsonify({"status": "success", "favourited": is_favourited})
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@ -13,6 +13,7 @@ def config_editor():
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config = configparser.ConfigParser()
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config.read(CONFIG_PATH)
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# Load from config directly — no helper functions needed anymore
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topics = config.get('comfyui', 'topics', fallback='').split(',')
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general_models = config.get('comfyui', 'models', fallback='').split(',')
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flux_models = config.get('comfyui:flux', 'models', fallback='').split(',')
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@ -63,12 +64,7 @@ def config_editor():
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continue
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form_key = f"{section}:{key}"
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if form_key in request.form:
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new_value = request.form[form_key]
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# Prevent overwriting masked secrets unless actually changed
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if key in ('password_for_auth', 'api_key') and new_value == "********":
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continue # Skip overwriting
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config[section][key] = new_value
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config[section][key] = request.form[form_key]
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# Save everything at once
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with open(CONFIG_PATH, 'w') as configfile:
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@ -91,8 +87,8 @@ def config_editor():
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return render_template(
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'settings.html',
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topics=sorted(topics,key=str.lower),
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models=sorted(general_models + flux_models,key=str.lower),
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topics=topics,
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models=general_models + flux_models,
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config_sections=filtered_config.keys(),
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config_values=filtered_config
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)
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@ -116,22 +116,6 @@
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/* lower than lightbox (999) */
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}
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.favourites-button {
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position: fixed;
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top: 20px;
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right: 120px;
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z-index: 500;
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}
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.favourite-heart {
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position: absolute;
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top: 20px;
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left: 30px;
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font-size: 30px;
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color: white;
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cursor: pointer;
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}
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.button-link {
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background: #333;
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color: white;
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@ -143,7 +127,6 @@
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transition: background 0.3s;
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display: inline-block;
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text-align: center;
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border: none;
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}
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.button-link:hover {
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@ -196,17 +179,15 @@
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<body>
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<a href="/" class="button-link home-button">Home</a>
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<button class="button-link favourites-button" id="favourites-button" onclick="toggleFavouritesView()">Show Favourites</button>
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<h1 id="page-title">Image Archive</h1>
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<h1>Image Archive</h1>
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<!-- Empty gallery container; images will be loaded incrementally -->
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<div class="gallery" id="gallery"></div>
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<!-- Lightbox -->
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<div class="lightbox" id="lightbox" tabindex="-1" onkeyup="handleLightboxKeys(event)">
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<div class="lightbox" id="lightbox">
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<span class="close" onclick="closeLightbox()">×</span>
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<span class="favourite-heart" id="favourite-heart" onclick="toggleFavourite()">♡</span>
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<span class="arrow left" onclick="prevImage()">❮</span>
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<img id="lightbox-img" src="" />
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<p id="lightbox-prompt"></p>
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@ -215,11 +196,11 @@
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<!-- Pass image filenames from Flask to JS -->
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<script>
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let allImages = JSON.parse(`[
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const allImages = [
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{% for image in images %}
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{ "filename": "{{ image.filename }}", "favourited": {{ 'true' if image.favourited else 'false' }} }{% if not loop.last %},{% endif %}
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{% endfor %}
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]`);
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{ filename: "{{ image.filename }}" },
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{% endfor %}
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];
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</script>
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<script>
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@ -228,15 +209,12 @@
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let loadedCount = 0;
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let currentIndex = 0;
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const detailsCache = {}; // Cache for image details
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let showingFavourites = false;
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let filteredImages = allImages;
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function createImageElement(image) {
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const img = document.createElement('img');
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img.src = `/images/thumbnails/${image.filename}`;
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img.dataset.fullsrc = `/images/${image.filename}`;
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img.dataset.filename = image.filename;
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img.dataset.favourited = image.favourited;
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img.loading = 'lazy';
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img.style.cursor = 'pointer';
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img.style.borderRadius = '10px';
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@ -245,8 +223,7 @@
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}
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function loadNextBatch() {
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const imagesToLoad = showingFavourites ? filteredImages : allImages;
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const nextImages = imagesToLoad.slice(loadedCount, loadedCount + batchSize);
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const nextImages = allImages.slice(loadedCount, loadedCount + batchSize);
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nextImages.forEach(image => {
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const imgEl = createImageElement(image);
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gallery.appendChild(imgEl);
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@ -254,35 +231,12 @@
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loadedCount += nextImages.length;
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}
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function renderGallery() {
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gallery.innerHTML = '';
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loadedCount = 0;
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loadNextBatch();
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}
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function toggleFavouritesView() {
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showingFavourites = !showingFavourites;
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const button = document.getElementById('favourites-button');
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const pageTitle = document.getElementById('page-title');
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if (showingFavourites) {
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filteredImages = allImages.filter(img => img.favourited);
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button.textContent = 'Show All';
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pageTitle.textContent = 'Favourites';
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} else {
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filteredImages = allImages;
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button.textContent = 'Show Favourites';
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pageTitle.textContent = 'Image Archive';
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}
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renderGallery();
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}
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// Load initial batch
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renderGallery();
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loadNextBatch();
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// Load more images when scrolling near bottom
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window.addEventListener('scroll', () => {
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const imagesToLoad = showingFavourites ? filteredImages : allImages;
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if (loadedCount >= imagesToLoad.length) return; // all loaded
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if (loadedCount >= allImages.length) return; // all loaded
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if ((window.innerHeight + window.scrollY) >= (document.body.offsetHeight - 100)) {
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loadNextBatch();
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}
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@ -297,45 +251,7 @@
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const images = getGalleryImages();
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currentIndex = images.indexOf(imgEl);
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showImageAndLoadDetails(currentIndex);
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const lightbox = document.getElementById("lightbox");
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lightbox.style.display = "flex";
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lightbox.focus();
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}
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function updateFavouriteHeart(isFavourited) {
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const heart = document.getElementById('favourite-heart');
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heart.innerHTML = isFavourited ? '♥' : '♡'; // solid vs outline heart
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heart.style.color = isFavourited ? 'red' : 'white';
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}
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function toggleFavourite() {
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const images = getGalleryImages();
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const imgEl = images[currentIndex];
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const filename = imgEl.dataset.filename;
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fetch('/favourites/toggle', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({ filename: filename })
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})
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.then(response => response.json())
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.then(data => {
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if (data.status === 'success') {
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const isFavourited = data.favourited;
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imgEl.dataset.favourited = isFavourited;
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updateFavouriteHeart(isFavourited);
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const originalImage = allImages.find(img => img.filename === filename);
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if (originalImage) {
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originalImage.favourited = isFavourited;
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}
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|
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if (showingFavourites) {
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filteredImages = allImages.filter(img => img.favourited);
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renderGallery();
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}
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}
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});
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document.getElementById("lightbox").style.display = "flex";
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}
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function showImageAndLoadDetails(index) {
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@ -343,10 +259,8 @@
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const imgEl = images[index];
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const filename = imgEl.dataset.filename;
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const fullsrc = imgEl.dataset.fullsrc;
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const isFavourited = imgEl.dataset.favourited === 'true';
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document.getElementById("lightbox-img").src = fullsrc;
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updateFavouriteHeart(isFavourited);
|
||||
|
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if (detailsCache[filename]) {
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document.getElementById("lightbox-prompt").textContent =
|
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@ -373,16 +287,12 @@
|
||||
|
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function nextImage() {
|
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const images = getGalleryImages();
|
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const imagesToLoad = showingFavourites ? filteredImages : allImages;
|
||||
if (currentIndex + 1 >= images.length && loadedCount < imagesToLoad.length) {
|
||||
if (currentIndex + 1 >= images.length && loadedCount < allImages.length) {
|
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loadNextBatch();
|
||||
// Wait briefly to ensure DOM updates
|
||||
setTimeout(() => {
|
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const updatedImages = getGalleryImages();
|
||||
if (currentIndex + 1 < updatedImages.length) {
|
||||
currentIndex++;
|
||||
showImageAndLoadDetails(currentIndex);
|
||||
}
|
||||
currentIndex++;
|
||||
showImageAndLoadDetails(currentIndex);
|
||||
}, 100);
|
||||
} else {
|
||||
currentIndex = (currentIndex + 1) % images.length;
|
||||
@ -399,27 +309,6 @@
|
||||
|
||||
function closeLightbox() {
|
||||
document.getElementById("lightbox").style.display = "none";
|
||||
if (showingFavourites) {
|
||||
// Refresh the gallery if a favourite was removed
|
||||
const currentImage = getGalleryImages()[currentIndex];
|
||||
const wasFavourited = currentImage.dataset.favourited === 'true';
|
||||
const originalImage = allImages.find(img => img.filename === currentImage.dataset.filename);
|
||||
if (originalImage && !originalImage.favourited) {
|
||||
renderGallery();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
function handleLightboxKeys(e) {
|
||||
if (e.key === 'f') {
|
||||
toggleFavourite();
|
||||
} else if (e.key === 'Escape') {
|
||||
closeLightbox();
|
||||
} else if (e.key === 'ArrowLeft') {
|
||||
prevImage();
|
||||
} else if (e.key === 'ArrowRight') {
|
||||
nextImage();
|
||||
}
|
||||
}
|
||||
</script>
|
||||
</body>
|
||||
|
||||
@ -161,19 +161,9 @@
|
||||
<option value="False" {% if value.lower()=='false' %}selected{% endif %}>False</option>
|
||||
</select>
|
||||
{% else %}
|
||||
{% if key in ['password_for_auth', 'api_key'] %}
|
||||
<input type="text" name="{{ section }}:{{ key }}" value="********" placeholder="********">
|
||||
{% elif value.lower() in ['true', 'false'] %}
|
||||
<select name="{{ section }}:{{ key }}">
|
||||
<option value="True" {% if value.lower()=='true' %}selected{% endif %}>True</option>
|
||||
<option value="False" {% if value.lower()=='false' %}selected{% endif %}>False</option>
|
||||
</select>
|
||||
{% else %}
|
||||
<input type="text" name="{{ section }}:{{ key }}" value="{{ value }}">
|
||||
{% endif %}
|
||||
|
||||
{% endif %}
|
||||
|
||||
{% endfor %}
|
||||
</div>
|
||||
{% endfor %}
|
||||
|
||||
@ -6,7 +6,7 @@
|
||||
1
|
||||
],
|
||||
"vae": [
|
||||
"73",
|
||||
"27",
|
||||
0
|
||||
]
|
||||
},
|
||||
@ -15,6 +15,75 @@
|
||||
"title": "VAE Decode"
|
||||
}
|
||||
},
|
||||
"22": {
|
||||
"inputs": {
|
||||
"clip_name1": "t5/t5xxl_fp8_e4m3fn.safetensors",
|
||||
"clip_name2": "clip_l.safetensors",
|
||||
"type": "flux",
|
||||
"device": "default"
|
||||
},
|
||||
"class_type": "DualCLIPLoader",
|
||||
"_meta": {
|
||||
"title": "DualCLIPLoader"
|
||||
}
|
||||
},
|
||||
"27": {
|
||||
"inputs": {
|
||||
"vae_name": "FLUX1/ae.safetensors"
|
||||
},
|
||||
"class_type": "VAELoader",
|
||||
"_meta": {
|
||||
"title": "Load VAE"
|
||||
}
|
||||
},
|
||||
"32": {
|
||||
"inputs": {
|
||||
"upscale_model": [
|
||||
"33",
|
||||
0
|
||||
],
|
||||
"image": [
|
||||
"8",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "ImageUpscaleWithModel",
|
||||
"_meta": {
|
||||
"title": "Upscale Image (using Model)"
|
||||
}
|
||||
},
|
||||
"33": {
|
||||
"inputs": {
|
||||
"model_name": "4x-UltraSharp.pth"
|
||||
},
|
||||
"class_type": "UpscaleModelLoader",
|
||||
"_meta": {
|
||||
"title": "Load Upscale Model"
|
||||
}
|
||||
},
|
||||
"34": {
|
||||
"inputs": {
|
||||
"upscale_method": "lanczos",
|
||||
"scale_by": 0.5,
|
||||
"image": [
|
||||
"32",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "ImageScaleBy",
|
||||
"_meta": {
|
||||
"title": "Half size"
|
||||
}
|
||||
},
|
||||
"35": {
|
||||
"inputs": {
|
||||
"unet_name": "flux1-dev-Q4_0.gguf"
|
||||
},
|
||||
"class_type": "UnetLoaderGGUF",
|
||||
"_meta": {
|
||||
"title": "Unet Loader (GGUF)"
|
||||
}
|
||||
},
|
||||
"40": {
|
||||
"inputs": {
|
||||
"int": 20
|
||||
@ -57,7 +126,10 @@
|
||||
"50",
|
||||
1
|
||||
],
|
||||
"scheduler_name": "normal",
|
||||
"scheduler": [
|
||||
"49",
|
||||
1
|
||||
],
|
||||
"positive": [
|
||||
"44",
|
||||
0
|
||||
@ -100,7 +172,7 @@
|
||||
]
|
||||
},
|
||||
"images": [
|
||||
"8",
|
||||
"34",
|
||||
0
|
||||
]
|
||||
},
|
||||
@ -111,7 +183,7 @@
|
||||
},
|
||||
"44": {
|
||||
"inputs": {
|
||||
"text": "Yautja Predator wielding flamethrower in smoky, cyberpunk alleyway darkness",
|
||||
"text": "",
|
||||
"speak_and_recognation": {
|
||||
"__value__": [
|
||||
false,
|
||||
@ -152,18 +224,18 @@
|
||||
]
|
||||
},
|
||||
"clip": [
|
||||
"72",
|
||||
0
|
||||
"68",
|
||||
1
|
||||
]
|
||||
},
|
||||
"class_type": "CLIPTextEncode",
|
||||
"_meta": {
|
||||
"title": "Prompt Encoder"
|
||||
"title": "CLIP Text Encode (Prompt)"
|
||||
}
|
||||
},
|
||||
"48": {
|
||||
"inputs": {
|
||||
"seed": 47371998700984,
|
||||
"seed": 903006749445372,
|
||||
"increment": 1
|
||||
},
|
||||
"class_type": "Seed Generator (Image Saver)",
|
||||
@ -177,7 +249,7 @@
|
||||
},
|
||||
"class_type": "Scheduler Selector (Comfy) (Image Saver)",
|
||||
"_meta": {
|
||||
"title": "Scheduler"
|
||||
"title": "Scheduler Selector"
|
||||
}
|
||||
},
|
||||
"50": {
|
||||
@ -186,27 +258,66 @@
|
||||
},
|
||||
"class_type": "Sampler Selector (Image Saver)",
|
||||
"_meta": {
|
||||
"title": "Sampler"
|
||||
"title": "Sampler Selector (Image Saver)"
|
||||
}
|
||||
},
|
||||
"51": {
|
||||
"inputs": {
|
||||
"images": [
|
||||
"8",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "PreviewImage",
|
||||
"_meta": {
|
||||
"title": "Preview Image"
|
||||
}
|
||||
},
|
||||
"52": {
|
||||
"inputs": {
|
||||
"float": 3.500000000000001
|
||||
"float": 3.5
|
||||
},
|
||||
"class_type": "Float Literal (Image Saver)",
|
||||
"_meta": {
|
||||
"title": "CFG Scale"
|
||||
"title": "CFG"
|
||||
}
|
||||
},
|
||||
"53": {
|
||||
"inputs": {
|
||||
"float": 1.0000000000000002
|
||||
"float": 1
|
||||
},
|
||||
"class_type": "Float Literal (Image Saver)",
|
||||
"_meta": {
|
||||
"title": "Denoise"
|
||||
}
|
||||
},
|
||||
"60": {
|
||||
"inputs": {
|
||||
"clip_l": "",
|
||||
"t5xxl": [
|
||||
"44",
|
||||
0
|
||||
],
|
||||
"guidance": [
|
||||
"52",
|
||||
0
|
||||
],
|
||||
"speak_and_recognation": {
|
||||
"__value__": [
|
||||
false,
|
||||
true
|
||||
]
|
||||
},
|
||||
"clip": [
|
||||
"68",
|
||||
1
|
||||
]
|
||||
},
|
||||
"class_type": "CLIPTextEncodeFlux",
|
||||
"_meta": {
|
||||
"title": "CLIPTextEncodeFlux"
|
||||
}
|
||||
},
|
||||
"62": {
|
||||
"inputs": {
|
||||
"noise": [
|
||||
@ -232,7 +343,7 @@
|
||||
},
|
||||
"class_type": "SamplerCustomAdvanced",
|
||||
"_meta": {
|
||||
"title": "Custom Sampler"
|
||||
"title": "SamplerCustomAdvanced"
|
||||
}
|
||||
},
|
||||
"63": {
|
||||
@ -244,7 +355,7 @@
|
||||
},
|
||||
"class_type": "KSamplerSelect",
|
||||
"_meta": {
|
||||
"title": "KSampler Select"
|
||||
"title": "KSamplerSelect"
|
||||
}
|
||||
},
|
||||
"64": {
|
||||
@ -262,13 +373,13 @@
|
||||
0
|
||||
],
|
||||
"model": [
|
||||
"35",
|
||||
"68",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "BasicScheduler",
|
||||
"_meta": {
|
||||
"title": "Sigma Generator"
|
||||
"title": "BasicScheduler"
|
||||
}
|
||||
},
|
||||
"65": {
|
||||
@ -280,13 +391,13 @@
|
||||
},
|
||||
"class_type": "RandomNoise",
|
||||
"_meta": {
|
||||
"title": "Noise Generator"
|
||||
"title": "RandomNoise"
|
||||
}
|
||||
},
|
||||
"67": {
|
||||
"inputs": {
|
||||
"model": [
|
||||
"35",
|
||||
"68",
|
||||
0
|
||||
],
|
||||
"conditioning": [
|
||||
@ -296,48 +407,31 @@
|
||||
},
|
||||
"class_type": "BasicGuider",
|
||||
"_meta": {
|
||||
"title": "Prompt Guider"
|
||||
"title": "BasicGuider"
|
||||
}
|
||||
},
|
||||
"72": {
|
||||
"68": {
|
||||
"inputs": {
|
||||
"clip_name1": "t5-v1_1-xxl-encoder-Q4_K_M.gguf",
|
||||
"clip_name2": "clip_l.safetensors",
|
||||
"type": "flux",
|
||||
"device": "cuda:0",
|
||||
"virtual_vram_gb": 0,
|
||||
"use_other_vram": false,
|
||||
"expert_mode_allocations": ""
|
||||
"lora_01": "None",
|
||||
"strength_01": 1,
|
||||
"lora_02": "None",
|
||||
"strength_02": 1,
|
||||
"lora_03": "None",
|
||||
"strength_03": 1,
|
||||
"lora_04": "None",
|
||||
"strength_04": 1,
|
||||
"model": [
|
||||
"35",
|
||||
0
|
||||
],
|
||||
"clip": [
|
||||
"22",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "DualCLIPLoaderGGUFDisTorchMultiGPU",
|
||||
"class_type": "Lora Loader Stack (rgthree)",
|
||||
"_meta": {
|
||||
"title": "DualCLIPLoaderGGUFDisTorchMultiGPU"
|
||||
}
|
||||
},
|
||||
"73": {
|
||||
"inputs": {
|
||||
"vae_name": "FLUX1/ae.safetensors",
|
||||
"device": "cuda:0"
|
||||
},
|
||||
"class_type": "VAELoaderMultiGPU",
|
||||
"_meta": {
|
||||
"title": "VAELoaderMultiGPU"
|
||||
}
|
||||
},
|
||||
"35": {
|
||||
"inputs": {
|
||||
"unet_name": "flux1-dev-Q4_0.gguf",
|
||||
"dequant_dtype": "default",
|
||||
"patch_dtype": "default",
|
||||
"patch_on_device": false,
|
||||
"device": "cuda:1",
|
||||
"virtual_vram_gb": 0,
|
||||
"use_other_vram": false,
|
||||
"expert_mode_allocations": ""
|
||||
},
|
||||
"class_type": "UnetLoaderGGUFAdvancedDisTorchMultiGPU",
|
||||
"_meta": {
|
||||
"title": "UnetLoaderGGUFAdvancedDisTorchMultiGPU"
|
||||
"title": "Lora Loader Stack (rgthree)"
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -1,433 +0,0 @@
|
||||
{
|
||||
"8": {
|
||||
"inputs": {
|
||||
"samples": [
|
||||
"62",
|
||||
1
|
||||
],
|
||||
"vae": [
|
||||
"27",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "VAEDecode",
|
||||
"_meta": {
|
||||
"title": "VAE Decode"
|
||||
}
|
||||
},
|
||||
"22": {
|
||||
"inputs": {
|
||||
"clip_name1": "t5/t5xxl_fp8_e4m3fn.safetensors",
|
||||
"clip_name2": "clip_l.safetensors",
|
||||
"type": "flux",
|
||||
"device": "default"
|
||||
},
|
||||
"class_type": "DualCLIPLoader",
|
||||
"_meta": {
|
||||
"title": "DualCLIPLoader"
|
||||
}
|
||||
},
|
||||
"27": {
|
||||
"inputs": {
|
||||
"vae_name": "FLUX1/ae.safetensors"
|
||||
},
|
||||
"class_type": "VAELoader",
|
||||
"_meta": {
|
||||
"title": "Load VAE"
|
||||
}
|
||||
},
|
||||
"32": {
|
||||
"inputs": {
|
||||
"upscale_model": [
|
||||
"33",
|
||||
0
|
||||
],
|
||||
"image": [
|
||||
"8",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "ImageUpscaleWithModel",
|
||||
"_meta": {
|
||||
"title": "Upscale Image (using Model)"
|
||||
}
|
||||
},
|
||||
"33": {
|
||||
"inputs": {
|
||||
"model_name": "4x-UltraSharp.pth"
|
||||
},
|
||||
"class_type": "UpscaleModelLoader",
|
||||
"_meta": {
|
||||
"title": "Load Upscale Model"
|
||||
}
|
||||
},
|
||||
"34": {
|
||||
"inputs": {
|
||||
"upscale_method": "lanczos",
|
||||
"scale_by": 0.5,
|
||||
"image": [
|
||||
"32",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "ImageScaleBy",
|
||||
"_meta": {
|
||||
"title": "Half size"
|
||||
}
|
||||
},
|
||||
"35": {
|
||||
"inputs": {
|
||||
"unet_name": "flux1-dev-Q4_0.gguf"
|
||||
},
|
||||
"class_type": "UnetLoaderGGUF",
|
||||
"_meta": {
|
||||
"title": "Unet Loader (GGUF)"
|
||||
}
|
||||
},
|
||||
"40": {
|
||||
"inputs": {
|
||||
"int": 20
|
||||
},
|
||||
"class_type": "Int Literal (Image Saver)",
|
||||
"_meta": {
|
||||
"title": "Generation Steps"
|
||||
}
|
||||
},
|
||||
"41": {
|
||||
"inputs": {
|
||||
"width": 720,
|
||||
"height": 1080,
|
||||
"aspect_ratio": "custom",
|
||||
"swap_dimensions": "Off",
|
||||
"upscale_factor": 2,
|
||||
"prescale_factor": 1,
|
||||
"batch_size": 1
|
||||
},
|
||||
"class_type": "CR Aspect Ratio",
|
||||
"_meta": {
|
||||
"title": "CR Aspect Ratio"
|
||||
}
|
||||
},
|
||||
"42": {
|
||||
"inputs": {
|
||||
"filename": "THISFILE",
|
||||
"path": "",
|
||||
"extension": "png",
|
||||
"steps": [
|
||||
"40",
|
||||
0
|
||||
],
|
||||
"cfg": [
|
||||
"52",
|
||||
0
|
||||
],
|
||||
"modelname": "flux1-dev-Q4_0.gguf",
|
||||
"sampler_name": [
|
||||
"50",
|
||||
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|
||||
],
|
||||
"positive": [
|
||||
"44",
|
||||
0
|
||||
],
|
||||
"negative": [
|
||||
"45",
|
||||
0
|
||||
],
|
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"seed_value": [
|
||||
"48",
|
||||
0
|
||||
],
|
||||
"width": [
|
||||
"41",
|
||||
0
|
||||
],
|
||||
"height": [
|
||||
"41",
|
||||
1
|
||||
],
|
||||
"lossless_webp": true,
|
||||
"quality_jpeg_or_webp": 100,
|
||||
"optimize_png": false,
|
||||
"counter": 0,
|
||||
"denoise": [
|
||||
"53",
|
||||
0
|
||||
],
|
||||
"clip_skip": 0,
|
||||
"time_format": "%Y-%m-%d-%H%M%S",
|
||||
"save_workflow_as_json": true,
|
||||
"embed_workflow": true,
|
||||
"additional_hashes": "",
|
||||
"download_civitai_data": true,
|
||||
"easy_remix": true,
|
||||
"speak_and_recognation": {
|
||||
"__value__": [
|
||||
false,
|
||||
true
|
||||
]
|
||||
},
|
||||
"images": [
|
||||
"34",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "Image Saver",
|
||||
"_meta": {
|
||||
"title": "CivitAI Image Saver"
|
||||
}
|
||||
},
|
||||
"44": {
|
||||
"inputs": {
|
||||
"text": "",
|
||||
"speak_and_recognation": {
|
||||
"__value__": [
|
||||
false,
|
||||
true
|
||||
]
|
||||
}
|
||||
},
|
||||
"class_type": "ttN text",
|
||||
"_meta": {
|
||||
"title": "Positive Prompt T5"
|
||||
}
|
||||
},
|
||||
"45": {
|
||||
"inputs": {
|
||||
"text": "text, watermark, deformed Avoid flat colors, poor lighting, and artificial elements. No unrealistic elements, low resolution, or flat colors. Avoid generic objects, poor lighting, and inconsistent styles, blurry, low-quality, distorted faces, overexposed lighting, extra limbs, bad anatomy, low contrast",
|
||||
"speak_and_recognation": {
|
||||
"__value__": [
|
||||
false,
|
||||
true
|
||||
]
|
||||
}
|
||||
},
|
||||
"class_type": "ttN text",
|
||||
"_meta": {
|
||||
"title": "Negative Prompt"
|
||||
}
|
||||
},
|
||||
"47": {
|
||||
"inputs": {
|
||||
"text": [
|
||||
"44",
|
||||
0
|
||||
],
|
||||
"speak_and_recognation": {
|
||||
"__value__": [
|
||||
false,
|
||||
true
|
||||
]
|
||||
},
|
||||
"clip": [
|
||||
"68",
|
||||
1
|
||||
]
|
||||
},
|
||||
"class_type": "CLIPTextEncode",
|
||||
"_meta": {
|
||||
"title": "CLIP Text Encode (Prompt)"
|
||||
}
|
||||
},
|
||||
"48": {
|
||||
"inputs": {
|
||||
"seed": 903006749445372,
|
||||
"increment": 1
|
||||
},
|
||||
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|
||||
"_meta": {
|
||||
"title": "Seed"
|
||||
}
|
||||
},
|
||||
"49": {
|
||||
"inputs": {
|
||||
"scheduler": "beta"
|
||||
},
|
||||
"class_type": "Scheduler Selector (Comfy) (Image Saver)",
|
||||
"_meta": {
|
||||
"title": "Scheduler Selector"
|
||||
}
|
||||
},
|
||||
"50": {
|
||||
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|
||||
"sampler_name": "euler"
|
||||
},
|
||||
"class_type": "Sampler Selector (Image Saver)",
|
||||
"_meta": {
|
||||
"title": "Sampler Selector (Image Saver)"
|
||||
}
|
||||
},
|
||||
"51": {
|
||||
"inputs": {
|
||||
"images": [
|
||||
"8",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "PreviewImage",
|
||||
"_meta": {
|
||||
"title": "Preview Image"
|
||||
}
|
||||
},
|
||||
"52": {
|
||||
"inputs": {
|
||||
"float": 3.5
|
||||
},
|
||||
"class_type": "Float Literal (Image Saver)",
|
||||
"_meta": {
|
||||
"title": "CFG"
|
||||
}
|
||||
},
|
||||
"53": {
|
||||
"inputs": {
|
||||
"float": 1
|
||||
},
|
||||
"class_type": "Float Literal (Image Saver)",
|
||||
"_meta": {
|
||||
"title": "Denoise"
|
||||
}
|
||||
},
|
||||
"60": {
|
||||
"inputs": {
|
||||
"clip_l": "",
|
||||
"t5xxl": [
|
||||
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|
||||
0
|
||||
],
|
||||
"guidance": [
|
||||
"52",
|
||||
0
|
||||
],
|
||||
"speak_and_recognation": {
|
||||
"__value__": [
|
||||
false,
|
||||
true
|
||||
]
|
||||
},
|
||||
"clip": [
|
||||
"68",
|
||||
1
|
||||
]
|
||||
},
|
||||
"class_type": "CLIPTextEncodeFlux",
|
||||
"_meta": {
|
||||
"title": "CLIPTextEncodeFlux"
|
||||
}
|
||||
},
|
||||
"62": {
|
||||
"inputs": {
|
||||
"noise": [
|
||||
"65",
|
||||
0
|
||||
],
|
||||
"guider": [
|
||||
"67",
|
||||
0
|
||||
],
|
||||
"sampler": [
|
||||
"63",
|
||||
0
|
||||
],
|
||||
"sigmas": [
|
||||
"64",
|
||||
0
|
||||
],
|
||||
"latent_image": [
|
||||
"41",
|
||||
5
|
||||
]
|
||||
},
|
||||
"class_type": "SamplerCustomAdvanced",
|
||||
"_meta": {
|
||||
"title": "SamplerCustomAdvanced"
|
||||
}
|
||||
},
|
||||
"63": {
|
||||
"inputs": {
|
||||
"sampler_name": [
|
||||
"50",
|
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0
|
||||
]
|
||||
},
|
||||
"class_type": "KSamplerSelect",
|
||||
"_meta": {
|
||||
"title": "KSamplerSelect"
|
||||
}
|
||||
},
|
||||
"64": {
|
||||
"inputs": {
|
||||
"scheduler": [
|
||||
"49",
|
||||
0
|
||||
],
|
||||
"steps": [
|
||||
"40",
|
||||
0
|
||||
],
|
||||
"denoise": [
|
||||
"53",
|
||||
0
|
||||
],
|
||||
"model": [
|
||||
"68",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "BasicScheduler",
|
||||
"_meta": {
|
||||
"title": "BasicScheduler"
|
||||
}
|
||||
},
|
||||
"65": {
|
||||
"inputs": {
|
||||
"noise_seed": [
|
||||
"48",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "RandomNoise",
|
||||
"_meta": {
|
||||
"title": "RandomNoise"
|
||||
}
|
||||
},
|
||||
"67": {
|
||||
"inputs": {
|
||||
"model": [
|
||||
"68",
|
||||
0
|
||||
],
|
||||
"conditioning": [
|
||||
"47",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "BasicGuider",
|
||||
"_meta": {
|
||||
"title": "BasicGuider"
|
||||
}
|
||||
},
|
||||
"68": {
|
||||
"inputs": {
|
||||
"lora_01": "None",
|
||||
"strength_01": 1,
|
||||
"lora_02": "None",
|
||||
"strength_02": 1,
|
||||
"lora_03": "None",
|
||||
"strength_03": 1,
|
||||
"lora_04": "None",
|
||||
"strength_04": 1,
|
||||
"model": [
|
||||
"35",
|
||||
0
|
||||
],
|
||||
"clip": [
|
||||
"22",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "Lora Loader Stack (rgthree)",
|
||||
"_meta": {
|
||||
"title": "Lora Loader Stack (rgthree)"
|
||||
}
|
||||
}
|
||||
}
|
||||
Loading…
x
Reference in New Issue
Block a user