.bumpversion.toml

@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.2.8"
+current_version = "0.2.3"
 parse = "(?P<major>\\d+)\\.(?P<minor>\\d+)\\.(?P<patch>\\d+)"
 serialize = ["{major}.{minor}.{patch}"]
 search = "{current_version}"

.gitignore

@@ -10,4 +10,3 @@ prompts_log.jsonl
 publish.sh
 test.py
 .vscode/launch.json
-favourites.json

libs/comfyui.py

@@ -164,7 +164,7 @@ def create_image(prompt: str | None = None, model: str = "Random") -> None:
             seed_param="seed",
             save_node="CivitAI Image Saver",
             save_param="filename",
-            model_node="UnetLoaderGGUFAdvancedDisTorchMultiGPU",
+            model_node="Unet Loader (GGUF)",
             model_param="unet_name",
             model=model
         )

libs/ollama.py

@@ -3,7 +3,6 @@ import logging
 import litellm
 import nest_asyncio
 from libs.generic import load_recent_prompts, load_config
-import re
 nest_asyncio.apply()
 
 logging.basicConfig(level=logging.INFO)
@@ -75,10 +74,5 @@ def create_prompt_on_openwebui(prompt: str, topic: str = "random") -> str:
     #     api_key=user_config["openwebui"]["api_key"],
     # )
     # prompt = response["choices"][0]["message"]["content"].strip('"')
-    match = re.search(r'"([^"]+)"', prompt)
-    if not match:
-        match = re.search(r":\s*\n*\s*(.+)", prompt) 
-    if match:
-        prompt = match.group(1)
     logging.debug(prompt)
-    return prompt
+    return prompt.split(": ")[-1]

routes/gallery_routes.py

@@ -1,50 +1,15 @@
-from flask import Blueprint, render_template, jsonify, request
+from flask import Blueprint, render_template
 import os
-import json
 
 bp = Blueprint("gallery_routes", __name__)
 image_folder = "./output"
-favourites_file = "./favourites.json"
-
-def get_favourites():
-    if not os.path.exists(favourites_file):
-        return []
-    with open(favourites_file, 'r') as f:
-        return json.load(f)
-
-def save_favourites(favourites):
-    with open(favourites_file, 'w') as f:
-        json.dump(favourites, f)
 
 @bp.route("/images", methods=["GET"])
 def gallery():
-    favourites = get_favourites()
     images = [
-        {"filename": f, "favourited": f in favourites}
+        {"filename": f}
         for f in os.listdir(image_folder)
         if f.lower().endswith(("png", "jpg", "jpeg", "gif"))
     ]
     images = sorted(images, key=lambda x: os.path.getmtime(os.path.join(image_folder, x["filename"])), reverse=True)
     return render_template("gallery.html", images=images)
-
-@bp.route("/favourites", methods=["GET"])
-def get_favourites_route():
-    return jsonify(get_favourites())
-
-@bp.route("/favourites/toggle", methods=["POST"])
-def toggle_favourite():
-    data = request.get_json()
-    filename = data.get("filename")
-    if not filename:
-        return jsonify({"status": "error", "message": "Filename missing"}), 400
-        
-    favourites = get_favourites()
-    is_favourited = False
-    if filename in favourites:
-        favourites.remove(filename)
-    else:
-        favourites.append(filename)
-        is_favourited = True
-        
-    save_favourites(favourites)
-    return jsonify({"status": "success", "favourited": is_favourited})

routes/settings_routes.py

@@ -13,6 +13,7 @@ def config_editor():
     config = configparser.ConfigParser()
     config.read(CONFIG_PATH)
 
+    # Load from config directly — no helper functions needed anymore
     topics = config.get('comfyui', 'topics', fallback='').split(',')
     general_models = config.get('comfyui', 'models', fallback='').split(',')
     flux_models = config.get('comfyui:flux', 'models', fallback='').split(',')
@@ -63,12 +64,7 @@ def config_editor():
                     continue
                 form_key = f"{section}:{key}"
                 if form_key in request.form:
-                    new_value = request.form[form_key]
+                    config[section][key] = request.form[form_key]
-                    # Prevent overwriting masked secrets unless actually changed
-                    if key in ('password_for_auth', 'api_key') and new_value == "********":
-                        continue  # Skip overwriting
-                    config[section][key] = new_value
-
 
         # Save everything at once
         with open(CONFIG_PATH, 'w') as configfile:
@@ -91,8 +87,8 @@ def config_editor():
 
     return render_template(
         'settings.html',
-        topics=sorted(topics,key=str.lower),
+        topics=topics,
-        models=sorted(general_models + flux_models,key=str.lower),
+        models=general_models + flux_models,
         config_sections=filtered_config.keys(),
         config_values=filtered_config
     )

templates/gallery.html

@@ -116,22 +116,6 @@
             /* lower than lightbox (999) */
         }
 
-        .favourites-button {
-            position: fixed;
-            top: 20px;
-            right: 120px;
-            z-index: 500;
-        }
-
-        .favourite-heart {
-            position: absolute;
-            top: 20px;
-            left: 30px;
-            font-size: 30px;
-            color: white;
-            cursor: pointer;
-        }
-
         .button-link {
             background: #333;
             color: white;
@@ -143,7 +127,6 @@
             transition: background 0.3s;
             display: inline-block;
             text-align: center;
-            border: none;
         }
 
         .button-link:hover {
@@ -196,17 +179,15 @@
 
 <body>
     <a href="/" class="button-link home-button">Home</a>
-    <button class="button-link favourites-button" id="favourites-button" onclick="toggleFavouritesView()">Show Favourites</button>
 
-    <h1 id="page-title">Image Archive</h1>
+    <h1>Image Archive</h1>
 
     <!-- Empty gallery container; images will be loaded incrementally -->
     <div class="gallery" id="gallery"></div>
 
     <!-- Lightbox -->
-    <div class="lightbox" id="lightbox" tabindex="-1" onkeyup="handleLightboxKeys(event)">
+    <div class="lightbox" id="lightbox">
         <span class="close" onclick="closeLightbox()">&times;</span>
-        <span class="favourite-heart" id="favourite-heart" onclick="toggleFavourite()">&#9825;</span>
         <span class="arrow left" onclick="prevImage()">&#10094;</span>
         <img id="lightbox-img" src="" />
         <p id="lightbox-prompt"></p>
@@ -215,11 +196,11 @@
 
     <!-- Pass image filenames from Flask to JS -->
     <script>
-        let allImages = JSON.parse(`[
+        const allImages = [
             {% for image in images %}
-                { "filename": "{{ image.filename }}", "favourited": {{ 'true' if image.favourited else 'false' }} }{% if not loop.last %},{% endif %}
+        { filename: "{{ image.filename }}" },
-            {% endfor %}
+        {% endfor %}
-        ]`);
+        ];
     </script>
 
     <script>
@@ -228,15 +209,12 @@
         let loadedCount = 0;
         let currentIndex = 0;
         const detailsCache = {}; // Cache for image details
-        let showingFavourites = false;
-        let filteredImages = allImages;
 
         function createImageElement(image) {
             const img = document.createElement('img');
             img.src = `/images/thumbnails/${image.filename}`;
             img.dataset.fullsrc = `/images/${image.filename}`;
             img.dataset.filename = image.filename;
-            img.dataset.favourited = image.favourited;
             img.loading = 'lazy';
             img.style.cursor = 'pointer';
             img.style.borderRadius = '10px';
@@ -245,8 +223,7 @@
         }
 
         function loadNextBatch() {
-            const imagesToLoad = showingFavourites ? filteredImages : allImages;
+            const nextImages = allImages.slice(loadedCount, loadedCount + batchSize);
-            const nextImages = imagesToLoad.slice(loadedCount, loadedCount + batchSize);
             nextImages.forEach(image => {
                 const imgEl = createImageElement(image);
                 gallery.appendChild(imgEl);
@@ -254,35 +231,12 @@
             loadedCount += nextImages.length;
         }
 
-        function renderGallery() {
-            gallery.innerHTML = '';
-            loadedCount = 0;
-            loadNextBatch();
-        }
-
-        function toggleFavouritesView() {
-            showingFavourites = !showingFavourites;
-            const button = document.getElementById('favourites-button');
-            const pageTitle = document.getElementById('page-title');
-            if (showingFavourites) {
-                filteredImages = allImages.filter(img => img.favourited);
-                button.textContent = 'Show All';
-                pageTitle.textContent = 'Favourites';
-            } else {
-                filteredImages = allImages;
-                button.textContent = 'Show Favourites';
-                pageTitle.textContent = 'Image Archive';
-            }
-            renderGallery();
-        }
-
         // Load initial batch
-        renderGallery();
+        loadNextBatch();
 
         // Load more images when scrolling near bottom
         window.addEventListener('scroll', () => {
-            const imagesToLoad = showingFavourites ? filteredImages : allImages;
+            if (loadedCount >= allImages.length) return; // all loaded
-            if (loadedCount >= imagesToLoad.length) return; // all loaded
             if ((window.innerHeight + window.scrollY) >= (document.body.offsetHeight - 100)) {
                 loadNextBatch();
             }
@@ -297,45 +251,7 @@
             const images = getGalleryImages();
             currentIndex = images.indexOf(imgEl);
             showImageAndLoadDetails(currentIndex);
-            const lightbox = document.getElementById("lightbox");
+            document.getElementById("lightbox").style.display = "flex";
-            lightbox.style.display = "flex";
-            lightbox.focus();
-        }
-
-        function updateFavouriteHeart(isFavourited) {
-            const heart = document.getElementById('favourite-heart');
-            heart.innerHTML = isFavourited ? '&#9829;' : '&#9825;'; // solid vs outline heart
-            heart.style.color = isFavourited ? 'red' : 'white';
-        }
-
-        function toggleFavourite() {
-            const images = getGalleryImages();
-            const imgEl = images[currentIndex];
-            const filename = imgEl.dataset.filename;
-
-            fetch('/favourites/toggle', {
-                method: 'POST',
-                headers: { 'Content-Type': 'application/json' },
-                body: JSON.stringify({ filename: filename })
-            })
-            .then(response => response.json())
-            .then(data => {
-                if (data.status === 'success') {
-                    const isFavourited = data.favourited;
-                    imgEl.dataset.favourited = isFavourited;
-                    updateFavouriteHeart(isFavourited);
-                    
-                    const originalImage = allImages.find(img => img.filename === filename);
-                    if (originalImage) {
-                        originalImage.favourited = isFavourited;
-                    }
-                    
-                    if (showingFavourites) {
-                        filteredImages = allImages.filter(img => img.favourited);
-                        renderGallery();
-                    }
-                }
-            });
         }
 
         function showImageAndLoadDetails(index) {
@@ -343,10 +259,8 @@
             const imgEl = images[index];
             const filename = imgEl.dataset.filename;
             const fullsrc = imgEl.dataset.fullsrc;
-            const isFavourited = imgEl.dataset.favourited === 'true';
 
             document.getElementById("lightbox-img").src = fullsrc;
-            updateFavouriteHeart(isFavourited);
 
             if (detailsCache[filename]) {
                 document.getElementById("lightbox-prompt").textContent =
@@ -373,16 +287,12 @@
 
         function nextImage() {
             const images = getGalleryImages();
-            const imagesToLoad = showingFavourites ? filteredImages : allImages;
+            if (currentIndex + 1 >= images.length && loadedCount < allImages.length) {
-            if (currentIndex + 1 >= images.length && loadedCount < imagesToLoad.length) {
                 loadNextBatch();
                 // Wait briefly to ensure DOM updates
                 setTimeout(() => {
-                    const updatedImages = getGalleryImages();
+                    currentIndex++;
-                    if (currentIndex + 1 < updatedImages.length) {
+                    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>

templates/settings.html

@@ -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 %}

workflow_flux.json

@@ -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",
+        "68",
-        0
+        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",
+      "lora_01": "None",
-      "clip_name2": "clip_l.safetensors",
+      "strength_01": 1,
-      "type": "flux",
+      "lora_02": "None",
-      "device": "cuda:0",
+      "strength_02": 1,
-      "virtual_vram_gb": 0,
+      "lora_03": "None",
-      "use_other_vram": false,
+      "strength_03": 1,
-      "expert_mode_allocations": ""
+      "lora_04": "None",
+      "strength_04": 1,
+      "model": [
+        "35",
+        0
+      ],
+      "clip": [
+        "22",
+        0
+      ]
     },
-    "class_type": "DualCLIPLoaderGGUFDisTorchMultiGPU",
+    "class_type": "Lora Loader Stack (rgthree)",
     "_meta": {
-      "title": "DualCLIPLoaderGGUFDisTorchMultiGPU"
+      "title": "Lora Loader Stack (rgthree)"
-    }
-  },
-  "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"
     }
   }
 }

workflow_flux_original.json

@@ -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",
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