Changelog

Merge from main

CHANGES.md

@@ -4,7 +4,7 @@
 ### Major Changes
 - **Nearly twice as fast** - significantly faster speed of image generation. We're now pretty close to automatic1111's speed. Code contributions are welcome to make our project even faster: https://github.com/easydiffusion/sdkit/#is-it-fast
 - **Full support for Stable Diffusion 2.1 (including CPU)** - supports loading v1.4 or v2.0 or v2.1 models seamlessly. No need to enable "Test SD2", and no need to add `sd2_` to your SD 2.0 model file names. Works on CPU as well.
-- **Memory optimized Stable Diffusion 2.1** - you can now use 768x768 models for SD 2.1, with the same low VRAM optimizations that we've always had for SD 1.4. Please note, 4 GB graphics cards can still only support images upto 512x512 resolution.
+- **Memory optimized Stable Diffusion 2.1** - you can now use Stable Diffusion 2.1 models, with the same low VRAM optimizations that we've always had for SD 1.4. Please note, the SD 2.0 and 2.1 models require more GPU and System RAM, as compared to the SD 1.4 and 1.5 models.
 - **6 new samplers!** - explore the new samplers, some of which can generate great images in less than 10 inference steps!
 - **Model Merging** - You can now merge two models (`.ckpt` or `.safetensors`) and output `.ckpt` or `.safetensors` models, optionally in `fp16` precision. Details: https://github.com/cmdr2/stable-diffusion-ui/wiki/Model-Merging
 - **Fast loading/unloading of VAEs** - No longer needs to reload the entire Stable Diffusion model, each time you change the VAE
@@ -19,8 +19,21 @@
 Our focus continues to remain on an easy installation experience, and an easy user-interface. While still remaining pretty powerful, in terms of features and speed.
 
 ### Detailed changelog
-* 2.5.6 - 10 Jan 2022 - Find Stable Diffusion models in sub-folders inside `models/stable-diffusion`. This allows you to organize your models into sub-folders, instead of keeping them all in a single folder. Thanks @JeLuf.
-* 2.5.5 - 9 Jan 2022 - Lots of bug fixes. Thanks @patriceac and @JeLuf.
+* 2.5.15 - 8 Feb 2023 - Allow using 'balanced' VRAM usage mode on GPUs with 4 GB or less of VRAM. This mode used to be called 'Turbo' in the previous version.
+* 2.5.14 - 8 Feb 2023 - Fix broken auto-save settings. We renamed `sampler` to `sampler_name`, which caused old settings to fail.
+* 2.5.14 - 6 Feb 2023 - Simplify the UI for merging models, and some other minor UI tweaks. Better error reporting if a model failed to load.
+* 2.5.14 - 3 Feb 2023 - Fix the 'Make Similar Images' button, which was producing incorrect images (weren't very similar).
+* 2.5.13 - 1 Feb 2023 - Fix the remaining GPU memory leaks, including a better fix (more comprehensive) for the change in 2.5.12 (27 Jan).
+* 2.5.12 - 27 Jan 2023 - Fix a memory leak, which made the UI unresponsive after an out-of-memory error. The allocated memory is now freed-up after an error.
+* 2.5.11 - 25 Jan 2023 - UI for Merging Models. Thanks @JeLuf. More info: https://github.com/cmdr2/stable-diffusion-ui/wiki/Model-Merging
+* 2.5.10 - 24 Jan 2023 - Reduce the VRAM usage for img2img in 'balanced' mode (without reducing the rendering speed), to make it similar to v2.4 of this UI.
+* 2.5.9 - 23 Jan 2023 - Fix a bug where img2img would produce poorer-quality images for the same settings, as compared to version 2.4 of this UI.
+* 2.5.9 - 23 Jan 2023 - Reduce the VRAM usage for 'balanced' mode (without reducing the rendering speed), to make it similar to v2.4 of the UI.
+* 2.5.8 - 17 Jan 2023 - Fix a bug where 'Low' VRAM usage would consume a LOT of VRAM (on higher-end GPUs). Also fixed a bug that caused out-of-memory errors on SD 2.1-768 models, on 'high' VRAM usage setting.
+* 2.5.7 - 16 Jan 2023 - Fix a bug where VAE files ending with .vae.pt weren't getting displayed. Thanks Madrang, rbertus2000 and JeLuf.
+* 2.5.6 - 10 Jan 2023 - `Fill` tool for the Image Editor, to allow filling areas with color (or the entire image). And some bug fixes to the Image Editor. Thanks @mdiller.
+* 2.5.6 - 10 Jan 2023 - Find Stable Diffusion models in sub-folders inside `models/stable-diffusion`. This allows you to organize your models into sub-folders, instead of keeping them all in a single folder. Thanks @JeLuf.
+* 2.5.5 - 9 Jan 2023 - Lots of bug fixes. Thanks @patriceac and @JeLuf.
 * 2.5.4 - 29 Dec 2022 - Press Esc key on the keyboard to close the Image Editor. Thanks @patriceac.
 * 2.5.4 - 29 Dec 2022 - Lots of bug fixes in the UI. Thanks @patriceac.
 * 2.5.4 - 28 Dec 2022 - Full support for running tasks in parallel on multiple GPUs. Warning: 'Euler Ancestral', 'DPM2 Ancestral' and 'DPM++ 2s Ancestral' may produce slight variations in the image (if run in parallel), so we recommend using the other samplers.

README.md

@@ -1,14 +1,13 @@
-# Stable Diffusion UI
-### The easiest way to install and use [Stable Diffusion](https://github.com/CompVis/stable-diffusion) on your own computer. Does not require technical knowledge, does not require pre-installed software. 1-click install, powerful features, friendly community.
+# Easy Diffusion 2.5
+### The easiest way to install and use [Stable Diffusion](https://github.com/CompVis/stable-diffusion) on your own computer.
 
-[![Discord Server](https://img.shields.io/discord/1014774730907209781?label=Discord)](https://discord.com/invite/u9yhsFmEkB) (for support, and development discussion) | [Troubleshooting guide for common problems](https://github.com/cmdr2/stable-diffusion-ui/wiki/Troubleshooting)
+Does not require technical knowledge, does not require pre-installed software. 1-click install, powerful features, friendly community.
 
-### New: 
-Experimental support for Stable Diffusion 2.0 is available in beta!
+[Installation guide](#step-1-download-and-extract-the-installer) | [Troubleshooting guide](https://github.com/cmdr2/stable-diffusion-ui/wiki/Troubleshooting) | <sub>[![Discord Server](https://img.shields.io/discord/1014774730907209781?label=Discord)](https://discord.com/invite/u9yhsFmEkB)</sub> <sup>(for support queries, and development discussions)</sup>
 
-----
+![t2i](https://raw.githubusercontent.com/Stability-AI/stablediffusion/main/assets/stable-samples/txt2img/768/merged-0006.png)
 
-# Step 1: Download and prepare the installer
+# Step 1: Download and extract the installer
 Click the download button for your operating system:
 
 <p float="left">
@@ -44,9 +43,18 @@ The installer will take care of whatever is needed. If you face any problems, yo
 ### User experience
 - **Hassle-free installation**: Does not require technical knowledge, does not require pre-installed software. Just download and run!
 - **Clutter-free UI**: A friendly and simple UI, while providing a lot of powerful features.
+- **Task Queue**: Queue up all your ideas, without waiting for the current task to finish.
+- **Intelligent Model Detection**: Automatically figures out the YAML config file to use for the chosen model (via a models database).
+- **Live Preview**: See the image as the AI is drawing it.
+- **Image Modifiers**: A library of *modifier tags* like *"Realistic"*, *"Pencil Sketch"*, *"ArtStation"* etc. Experiment with various styles quickly.
+- **Multiple Prompts File**: Queue multiple prompts by entering one prompt per line, or by running a text file.
+- **Save generated images to disk**: Save your images to your PC!
+- **UI Themes**: Customize the program to your liking.
+- **Organize your models into sub-folders**
 
 ### Image generation
 - **Supports**: "*Text to Image*" and "*Image to Image*".
+- **14 Samplers**: `ddim`, `plms`, `heun`, `euler`, `euler_a`, `dpm2`, `dpm2_a`, `lms`, `dpm_solver_stability`, `dpmpp_2s_a`, `dpmpp_2m`, `dpmpp_sde`, `dpm_fast`, `dpm_adaptive`
 - **In-Painting**: Specify areas of your image to paint into.
 - **Simple Drawing Tool**: Draw basic images to guide the AI, without needing an external drawing program.
 - **Face Correction (GFPGAN)**
@@ -56,7 +64,6 @@ The installer will take care of whatever is needed. If you face any problems, yo
 - **Attention/Emphasis**: () in the prompt increases the model's attention to enclosed words, and [] decreases it.
 - **Weighted Prompts**: Use weights for specific words in your prompt to change their importance, e.g. `red:2.4 dragon:1.2`.
 - **Prompt Matrix**: Quickly create multiple variations of your prompt, e.g. `a photograph of an astronaut riding a horse | illustration | cinematic lighting`.
-- **Lots of Samplers**: ddim, plms, heun, euler, euler_a, dpm2, dpm2_a, lms.
 - **1-click Upscale/Face Correction**: Upscale or correct an image after it has been generated.
 - **Make Similar Images**: Click to generate multiple variations of a generated image.
 - **NSFW Setting**: A setting in the UI to control *NSFW content*.
@@ -64,13 +71,15 @@ The installer will take care of whatever is needed. If you face any problems, yo
 
 ### Advanced features
 - **Custom Models**: Use your own `.ckpt` or `.safetensors` file, by placing it inside the `models/stable-diffusion` folder!
-- **Stable Diffusion 2.0 support (experimental)**: available in beta channel.
+- **Stable Diffusion 2.1 support**
+- **Merge Models**
 - **Use custom VAE models**
 - **Use pre-trained Hypernetworks**
 - **UI Plugins**: Choose from a growing list of [community-generated UI plugins](https://github.com/cmdr2/stable-diffusion-ui/wiki/UI-Plugins), or write your own plugin to add features to the project!
 
 ### Performance and security
-- **Low Memory Usage**: Creates 512x512 images with less than 4GB of GPU RAM!
+- **Fast**: Creates a 512x512 image with euler_a in 5 seconds, on an NVIDIA 3060 12GB.
+- **Low Memory Usage**: Create 512x512 images with less than 3 GB of GPU RAM, and 768x768 images with less than 4 GB of GPU RAM!
 - **Use CPU setting**: If you don't have a compatible graphics card, but still want to run it on your CPU.
 - **Multi-GPU support**: Automatically spreads your tasks across multiple GPUs (if available), for faster performance!
 - **Auto scan for malicious models**: Uses picklescan to prevent malicious models.
@@ -78,23 +87,17 @@ The installer will take care of whatever is needed. If you face any problems, yo
 - **Auto-updater**: Gets you the latest improvements and bug-fixes to a rapidly evolving project.
 - **Developer Console**: A developer-mode for those who want to modify their Stable Diffusion code, and edit the conda environment.
 
-### Usability:
-- **Live Preview**: See the image as the AI is drawing it.
-- **Task Queue**: Queue up all your ideas, without waiting for the current task to finish.
-- **Image Modifiers**: A library of *modifier tags* like *"Realistic"*, *"Pencil Sketch"*, *"ArtStation"* etc. Experiment with various styles quickly.
-- **Multiple Prompts File**: Queue multiple prompts by entering one prompt per line, or by running a text file.
-- **Save generated images to disk**: Save your images to your PC!
-- **UI Themes**: Customize the program to your liking.
-
 **(and a lot more)**
 
 ----
 
 ## Easy for new users:
-![Screenshot of the initial UI](media/shot-v10-simple.jpg?raw=true)
+![Screenshot of the initial UI](https://user-images.githubusercontent.com/844287/217043152-29454d15-0387-4228-b70d-9a4b84aeb8ba.png)
+
 
 ## Powerful features for advanced users:
-![Screenshot of advanced settings](media/shot-v10.jpg?raw=true)
+![Screenshot of advanced settings](https://user-images.githubusercontent.com/844287/217042588-fc53c975-bacd-4a9c-af88-37408734ade3.png)
+
 
 ## Live Preview
 Useful for judging (and stopping) an image quickly, without waiting for it to finish rendering.
@@ -102,7 +105,9 @@ Useful for judging (and stopping) an image quickly, without waiting for it to fi
 ![live-512](https://user-images.githubusercontent.com/844287/192097249-729a0a1e-a677-485e-9ccc-16a9e848fabe.gif)
 
 ## Task Queue
-![Screenshot of task queue](media/task-queue-v1.jpg?raw=true)
+![Screenshot of task queue](https://user-images.githubusercontent.com/844287/217043984-0b35f73b-1318-47cb-9eed-a2a91b430490.png)
+
+
 
 # System Requirements
 1. Windows 10/11, or Linux. Experimental support for Mac is coming soon.

scripts/on_sd_start.bat

@@ -72,13 +72,15 @@ if "%ERRORLEVEL%" EQU "0" (
     set PYTHONNOUSERSITE=1
     set PYTHONPATH=%INSTALL_ENV_DIR%\lib\site-packages
 
-    call pip install --upgrade torch torchvision --extra-index-url https://download.pytorch.org/whl/cu116 || (
+    call python -m pip install --upgrade torch torchvision --extra-index-url https://download.pytorch.org/whl/cu116 || (
         echo "Error installing torch. Sorry about that, please try to:" & echo "  1. Run this installer again." & echo "  2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/wiki/Troubleshooting" & echo "  3. If those steps don't help, please copy *all* the error messages in this window, and ask the community at https://discord.com/invite/u9yhsFmEkB" & echo "  4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues" & echo "Thanks!"
         pause
         exit /b
     )
 )
 
+set PATH=C:\Windows\System32;%PATH%
+
 @rem install/upgrade sdkit
 call python ..\scripts\check_modules.py sdkit sdkit.models ldm transformers numpy antlr4 gfpgan realesrgan
 if "%ERRORLEVEL%" EQU "0" (
@@ -90,7 +92,7 @@ if "%ERRORLEVEL%" EQU "0" (
         set PYTHONNOUSERSITE=1
         set PYTHONPATH=%INSTALL_ENV_DIR%\lib\site-packages
 
-        call pip install --upgrade sdkit -q || (
+        call python -m pip install --upgrade sdkit -q || (
             echo "Error updating sdkit"
         )
     )
@@ -101,7 +103,7 @@ if "%ERRORLEVEL%" EQU "0" (
     set PYTHONNOUSERSITE=1
     set PYTHONPATH=%INSTALL_ENV_DIR%\lib\site-packages
 
-    call pip install sdkit || (
+    call python -m pip install sdkit || (
         echo "Error installing sdkit. Sorry about that, please try to:" & echo "  1. Run this installer again." & echo "  2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/wiki/Troubleshooting" & echo "  3. If those steps don't help, please copy *all* the error messages in this window, and ask the community at https://discord.com/invite/u9yhsFmEkB" & echo "  4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues" & echo "Thanks!"
         pause
         exit /b
@@ -111,7 +113,7 @@ if "%ERRORLEVEL%" EQU "0" (
 call python -c "from importlib.metadata import version; print('sdkit version:', version('sdkit'))"
 
 @rem upgrade stable-diffusion-sdkit
-call pip install --upgrade stable-diffusion-sdkit -q || (
+call python -m pip install --upgrade stable-diffusion-sdkit -q || (
     echo "Error updating stable-diffusion-sdkit"
 )
 call python -c "from importlib.metadata import version; print('stable-diffusion version:', version('stable-diffusion-sdkit'))"
@@ -126,7 +128,7 @@ if "%ERRORLEVEL%" EQU "0" (
     set PYTHONNOUSERSITE=1
     set PYTHONPATH=%INSTALL_ENV_DIR%\lib\site-packages
 
-    call pip install rich || (
+    call python -m pip install rich || (
         echo "Error installing rich. Sorry about that, please try to:" & echo "  1. Run this installer again." & echo "  2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/cmdr2/stable-diffusion-ui/wiki/Troubleshooting" & echo "  3. If those steps don't help, please copy *all* the error messages in this window, and ask the community at https://discord.com/invite/u9yhsFmEkB" & echo "  4. If that doesn't solve the problem, please file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues" & echo "Thanks!"
         pause
         exit /b

scripts/on_sd_start.sh

@@ -64,7 +64,7 @@ else
     export PYTHONNOUSERSITE=1
     export PYTHONPATH="$INSTALL_ENV_DIR/lib/python3.8/site-packages"
 
-    if pip install --upgrade torch torchvision --extra-index-url https://download.pytorch.org/whl/cu116 ; then
+    if python -m pip install --upgrade torch torchvision --extra-index-url https://download.pytorch.org/whl/cu116 ; then
         echo "Installed."
     else
         fail "torch install failed" 
@@ -80,7 +80,7 @@ if python ../scripts/check_modules.py sdkit sdkit.models ldm transformers numpy
         export PYTHONNOUSERSITE=1
         export PYTHONPATH="$INSTALL_ENV_DIR/lib/python3.8/site-packages"
 
-        pip install --upgrade sdkit -q
+        python -m pip install --upgrade sdkit -q
     fi
 else
     echo "Installing sdkit: https://pypi.org/project/sdkit/"
@@ -88,7 +88,7 @@ else
     export PYTHONNOUSERSITE=1
     export PYTHONPATH="$INSTALL_ENV_DIR/lib/python3.8/site-packages"
 
-    if pip install sdkit ; then
+    if python -m pip install sdkit ; then
         echo "Installed."
     else
         fail "sdkit install failed"
@@ -98,7 +98,7 @@ fi
 python -c "from importlib.metadata import version; print('sdkit version:', version('sdkit'))"
 
 # upgrade stable-diffusion-sdkit
-pip install --upgrade stable-diffusion-sdkit -q
+python -m pip install --upgrade stable-diffusion-sdkit -q
 python -c "from importlib.metadata import version; print('stable-diffusion version:', version('stable-diffusion-sdkit'))"
 
 # install rich
@@ -110,7 +110,7 @@ else
     export PYTHONNOUSERSITE=1
     export PYTHONPATH="$INSTALL_ENV_DIR/lib/python3.8/site-packages"
 
-    if pip install rich ; then
+    if python -m pip install rich ; then
         echo "Installed."
     else
         fail "Install failed for rich"

ui/easydiffusion/app.py

@@ -20,7 +20,7 @@ logging.basicConfig(
         level=logging.INFO,
         format=LOG_FORMAT,
         datefmt="%X",
-        handlers=[RichHandler(markup=True, rich_tracebacks=True, show_time=False, show_level=False)]
+        handlers=[RichHandler(markup=True, rich_tracebacks=False, show_time=False, show_level=False)],
 )
 
 SD_DIR = os.getcwd()

ui/easydiffusion/device_manager.py

@@ -125,7 +125,7 @@ def needs_to_force_full_precision(context):
         return True
 
     device_name = context.device_name.lower()
-    return (('nvidia' in device_name or 'geforce' in device_name) and (' 1660' in device_name or ' 1650' in device_name or ' t400' in device_name)) or ('Quadro T2000' in device_name)
+    return (('nvidia' in device_name or 'geforce' in device_name or 'quadro' in device_name) and (' 1660' in device_name or ' 1650' in device_name or ' t400' in device_name or ' t550' in device_name or ' t600' in device_name or ' t1000' in device_name or ' t1200' in device_name or ' t2000' in device_name))
 
 def get_max_vram_usage_level(device):
     if device != 'cpu':

ui/easydiffusion/model_manager.py

@@ -24,11 +24,6 @@ DEFAULT_MODELS = {
     'gfpgan': ['GFPGANv1.3'],
     'realesrgan': ['RealESRGAN_x4plus'],
 }
-VRAM_USAGE_LEVEL_TO_OPTIMIZATIONS = {
-    'balanced': {'KEEP_FS_AND_CS_IN_CPU', 'SET_ATTENTION_STEP_TO_4'},
-    'low': {'KEEP_ENTIRE_MODEL_IN_CPU'},
-    'high': {},
-}
 MODELS_TO_LOAD_ON_START = ['stable-diffusion', 'vae', 'hypernetwork']
 
 known_models = {}
@@ -43,13 +38,12 @@ def load_default_models(context: Context):
     # init default model paths
     for model_type in MODELS_TO_LOAD_ON_START:
         context.model_paths[model_type] = resolve_model_to_use(model_type=model_type)
-        set_model_config_path(context, model_type)
         try:
            load_model(context, model_type)
         except Exception as e:
            log.error(f'[red]Error while loading {model_type} model: {context.model_paths[model_type]}[/red]')
            log.error(f'[red]Error: {e}[/red]')
-           log.error(f'[red]Consider to remove the model from the model folder.[red]')
+           log.error(f'[red]Consider removing the model from the model folder.[red]')
 
 
 def unload_all(context: Context):
@@ -110,24 +104,10 @@ def reload_models_if_necessary(context: Context, task_data: TaskData):
 
     for model_type, model_path_in_req in models_to_reload.items():
         context.model_paths[model_type] = model_path_in_req
-        set_model_config_path(context, model_type)
 
         action_fn = unload_model if context.model_paths[model_type] is None else load_model
         action_fn(context, model_type, scan_model=False) # we've scanned them already
 
-def set_model_config_path(context: Context, model_type: str):
-    if model_type != 'stable-diffusion':
-        return
-
-    context.model_configs['stable-diffusion'] = None # reset this, to avoid loading the last config
-
-    # look for a yaml file next to the model, otherwise let sdkit match it to a known model
-    model_path = context.model_paths['stable-diffusion']
-    file_path, _ = os.path.splitext(model_path)
-    config_path = file_path + '.yaml'
-    if os.path.exists(config_path):
-        context.model_configs['stable-diffusion'] = config_path
-
 def resolve_model_paths(task_data: TaskData):
     task_data.use_stable_diffusion_model = resolve_model_to_use(task_data.use_stable_diffusion_model, model_type='stable-diffusion')
     task_data.use_vae_model = resolve_model_to_use(task_data.use_vae_model, model_type='vae')
@@ -138,20 +118,10 @@ def resolve_model_paths(task_data: TaskData):
 
 def set_vram_optimizations(context: Context):
     config = app.getConfig()
-
-    max_usage_level = device_manager.get_max_vram_usage_level(context.device)
     vram_usage_level = config.get('vram_usage_level', 'balanced')
 
-    v = {'low': 0, 'balanced': 1, 'high': 2}
-    if v[vram_usage_level] > v[max_usage_level]:
-        log.error(f'Requested GPU Memory Usage level ({vram_usage_level}) is higher than what is ' + \
-                  f'possible ({max_usage_level}) on this device ({context.device}). Using "{max_usage_level}" instead')
-        vram_usage_level = max_usage_level
-
-    vram_optimizations = VRAM_USAGE_LEVEL_TO_OPTIMIZATIONS[vram_usage_level]
-
-    if vram_optimizations != context.vram_optimizations:
-        context.vram_optimizations = vram_optimizations
+    if vram_usage_level != context.vram_usage_level:
+        context.vram_usage_level = vram_usage_level
         return True
 
     return False
@@ -205,7 +175,11 @@ def getModels():
         nonlocal models_scanned
         tree = []
         for entry in os.scandir(directory):
-            if entry.is_file() and True in [entry.name.endswith(s) for s in suffixes]:
+            if entry.is_file():
+                matching_suffix = list(filter(lambda s: entry.name.endswith(s), suffixes))
+                if len(matching_suffix) == 0: continue
+                matching_suffix = matching_suffix[0]
+
                 mtime = entry.stat().st_mtime
                 mod_time = known_models[entry.path] if entry.path in known_models else -1
                 if mod_time != mtime:
@@ -213,7 +187,7 @@ def getModels():
                     if is_malicious_model(entry.path):
                         raise MaliciousModelException(entry.path)
                 known_models[entry.path] = mtime
-                tree.append(entry.name.rsplit('.',1)[0])
+                tree.append(entry.name[:-len(matching_suffix)])
             elif entry.is_dir():
                 scan=scan_directory(entry.path, suffixes) 
                 if len(scan) != 0:

ui/easydiffusion/renderer.py

@@ -65,6 +65,8 @@ def generate_images_internal(req: GenerateImageRequest, task_data: TaskData, dat
     callback = make_step_callback(req, task_data, data_queue, task_temp_images, step_callback, stream_image_progress)
 
     try:
+        if req.init_image is not None: req.sampler_name = 'ddim'
+
         images = generate_images(context, callback=callback, **req.dict())
         user_stopped = False
     except UserInitiatedStop:
@@ -72,9 +74,10 @@ def generate_images_internal(req: GenerateImageRequest, task_data: TaskData, dat
         user_stopped = True
         if context.partial_x_samples is not None:
             images = latent_samples_to_images(context, context.partial_x_samples)
-            context.partial_x_samples = None
     finally:
-        gc(context)
+        if hasattr(context, 'partial_x_samples') and context.partial_x_samples is not None:
+            del context.partial_x_samples
+            context.partial_x_samples = None
 
     return images, user_stopped
 

ui/easydiffusion/server.py

@@ -13,7 +13,7 @@ from starlette.responses import FileResponse, JSONResponse, StreamingResponse
 from pydantic import BaseModel
 
 from easydiffusion import app, model_manager, task_manager
-from easydiffusion.types import TaskData, GenerateImageRequest
+from easydiffusion.types import TaskData, GenerateImageRequest, MergeRequest
 from easydiffusion.utils import log
 
 log.info(f'started in {app.SD_DIR}')
@@ -61,6 +61,11 @@ def init():
     def render(req: dict):
         return render_internal(req)
 
+    @server_api.post('/model/merge')
+    def model_merge(req: dict):
+        print(req)
+        return model_merge_internal(req)
+
     @server_api.get('/image/stream/{task_id:int}')
     def stream(task_id:int):
         return stream_internal(task_id)
@@ -181,6 +186,23 @@ def render_internal(req: dict):
         log.error(traceback.format_exc())
         raise HTTPException(status_code=500, detail=str(e))
 
+def model_merge_internal(req: dict):
+    try:
+        from sdkit.train import merge_models
+        from easydiffusion.utils.save_utils import filename_regex
+        mergeReq: MergeRequest = MergeRequest.parse_obj(req)
+        
+        merge_models(model_manager.resolve_model_to_use(mergeReq.model0,'stable-diffusion'), 
+           model_manager.resolve_model_to_use(mergeReq.model1,'stable-diffusion'), 
+           mergeReq.ratio, 
+           os.path.join(app.MODELS_DIR, 'stable-diffusion', filename_regex.sub('_', mergeReq.out_path)), 
+           mergeReq.use_fp16
+        )
+        return JSONResponse({'status':'OK'}, headers=NOCACHE_HEADERS)
+    except Exception as e:
+        log.error(traceback.format_exc())
+        raise HTTPException(status_code=500, detail=str(e))
+
 def stream_internal(task_id:int):
     #TODO Move to WebSockets ??
     task = task_manager.get_cached_task(task_id, update_ttl=True)

ui/easydiffusion/task_manager.py

@@ -17,6 +17,8 @@ from easydiffusion import device_manager
 from easydiffusion.types import TaskData, GenerateImageRequest
 from easydiffusion.utils import log
 
+from sdkit.utils import gc
+
 THREAD_NAME_PREFIX = ''
 ERR_LOCK_FAILED = ' failed to acquire lock within timeout.'
 LOCK_TIMEOUT = 15 # Maximum locking time in seconds before failing a task.
@@ -287,13 +289,12 @@ def thread_render(device):
             task_cache.keep(id(task), TASK_TTL)
             session_cache.keep(task.task_data.session_id, TASK_TTL)
         except Exception as e:
-            task.error = e
+            task.error = str(e)
             task.response = {"status": 'failed', "detail": str(task.error)}
             task.buffer_queue.put(json.dumps(task.response))
             log.error(traceback.format_exc())
-            continue
         finally:
-            # Task completed
+            gc(renderer.context)
             task.lock.release()
         task_cache.keep(id(task), TASK_TTL)
         session_cache.keep(task.task_data.session_id, TASK_TTL)

ui/easydiffusion/types.py

@@ -41,6 +41,13 @@ class TaskData(BaseModel):
     metadata_output_format: str = "txt" # or "json"
     stream_image_progress: bool = False
 
+class MergeRequest(BaseModel):
+    model0: str = None
+    model1: str = None
+    ratio: float = None
+    out_path: str = "mix"
+    use_fp16 = True
+
 class Image:
     data: str # base64
     seed: int

ui/easydiffusion/utils/save_utils.py

@@ -7,7 +7,7 @@ from easydiffusion.types import TaskData, GenerateImageRequest
 
 from sdkit.utils import save_images, save_dicts
 
-filename_regex = re.compile('[^a-zA-Z0-9]')
+filename_regex = re.compile('[^a-zA-Z0-9._-]')
 
 # keep in sync with `ui/media/js/dnd.js`
 TASK_TEXT_MAPPING = {

ui/index.html

@@ -6,6 +6,7 @@
     <meta name="theme-color" content="#673AB6">
     <link rel="icon" type="image/png" href="/media/images/favicon-16x16.png" sizes="16x16">
     <link rel="icon" type="image/png" href="/media/images/favicon-32x32.png" sizes="32x32">
+    <link rel="stylesheet" href="/media/css/jquery-confirm.min.css">
     <link rel="stylesheet" href="/media/css/fonts.css">
     <link rel="stylesheet" href="/media/css/themes.css">
     <link rel="stylesheet" href="/media/css/main.css">
@@ -13,7 +14,6 @@
     <link rel="stylesheet" href="/media/css/modifier-thumbnails.css">
     <link rel="stylesheet" href="/media/css/fontawesome-all.min.css">
     <link rel="stylesheet" href="/media/css/image-editor.css">
-    <link rel="stylesheet" href="/media/css/jquery-confirm.min.css">
     <link rel="manifest" href="/media/manifest.webmanifest">
     <script src="/media/js/jquery-3.6.1.min.js"></script>
     <script src="/media/js/jquery-confirm.min.js"></script>
@@ -25,14 +25,14 @@
         <div id="logo">
             <h1>
                 Easy Diffusion
-                <small>v2.5.6 <span id="updateBranchLabel"></span></small>
+                <small>v2.5.15 <span id="updateBranchLabel"></span></small>
             </h1>
         </div>
         <div id="server-status">
             <div id="server-status-color">●</div>
             <span id="server-status-msg">Stable Diffusion is starting..</span>
         </div>
-        <div id="tab-container">
+        <div id="tab-container" class="tab-container">
             <span id="tab-main" class="tab active">
                 <span><i class="fa fa-image icon"></i> Generate</span>
             </span>

ui/media/css/main.css

@@ -107,6 +107,7 @@ code {
 .imgContainer {
     display: flex;
     justify-content: flex-end;
+    position: relative;
 }
 .imgItemInfo {
     padding-bottom: 0.5em;
@@ -114,16 +115,29 @@ code {
     align-items: flex-end;
     flex-direction: column;
     position: absolute;
-    padding: 5px;
+    padding-right: 5pt;
+    padding-top: 6pt;
     opacity: 0;
     transition: 0.1s all;
 }
+.imgPreviewItemClearBtn {
+    opacity: 0;
+}
+.imgPreviewItemClearBtn:hover {
+    background: rgb(177, 27, 0);
+}
 .imgContainer:hover > .imgItemInfo {
     opacity: 1;
 }
+.imgContainer:hover > .imgPreviewItemClearBtn {
+    opacity: 1;
+}
 .imgItemInfo * {
     margin-bottom: 7px;
 }
+.imgItem .image_clear_btn {
+    transform: translate(40%, -50%);
+}
 #container {
     min-height: 100vh;
     width: 100%;
@@ -254,6 +268,7 @@ img {
 div.img-preview img {
     width:100%;
     height: 100%;
+    max-height: 70vh;
 }
 .line-separator {
     background: var(--background-color3);
@@ -1028,7 +1043,7 @@ input::file-selector-button {
 }
 
 /* TABS */
-#tab-container {
+.tab-container {
     display: flex;
     align-items: flex-end;
 }
@@ -1181,3 +1196,10 @@ body.wait-pause {
     50% { border: solid 12px var(--background-color1); }
    100% { border: solid 12px var(--accent-color); }
 }
+
+.jconfirm.jconfirm-modern .jconfirm-box div.jconfirm-title-c {
+    color: var(--button-text-color);
+}
+.jconfirm.jconfirm-modern .jconfirm-box {
+    background-color: var(--background-color1);
+}

ui/media/js/auto-save.js

@@ -262,10 +262,12 @@ function tryLoadOldSettings() {
         var saved_settings = JSON.parse(saved_settings_text)
         Object.keys(saved_settings.should_save).forEach(key => {
             key = key in old_map ? old_map[key] : key
+            if (!(key in SETTINGS)) return
             SETTINGS[key].ignore = !saved_settings.should_save[key]
         });
         Object.keys(saved_settings.values).forEach(key => {
             key = key in old_map ? old_map[key] : key
+            if (!(key in SETTINGS)) return
             var setting = SETTINGS[key]
             if (!setting.ignore) {
                 setting.value = saved_settings.values[key]

ui/media/js/engine.js

@@ -718,7 +718,7 @@
         "height": 'number',
         "seed": 'number',
 
-        "sampler": 'string',
+        "sampler_name": 'string',
         "use_stable_diffusion_model": 'string',
         "num_inference_steps": 'number',
         "guidance_scale": 'number',
@@ -731,7 +731,7 @@
         "output_quality": 'number',
     }
     const TASK_DEFAULTS = {
-        "sampler": "plms",
+        "sampler_name": "plms",
         "use_stable_diffusion_model": "sd-v1-4",
         "num_inference_steps": 50,
         "guidance_scale": 7.5,
@@ -835,11 +835,10 @@
          * @memberof Task
          */
         async post(timeout=-1) {
-            if (typeof performance == "object" && performance.mark && performance.measure) {
-                performance.mark('make-render-request')
-                if (performance.getEntriesByName('click-makeImage', 'mark').length > 0) {
-                    console.log('delay between clicking and making the server request:', performance.measure('diff', 'click-makeImage', 'make-render-request').duration + ' ms')
-                }
+            performance.mark('make-render-request')
+            if (performance.getEntriesByName('click-makeImage', 'mark').length > 0) {
+                performance.measure('diff', 'click-makeImage', 'make-render-request')
+                console.log('delay between clicking and making the server request:', performance.getEntriesByName('diff', 'measure')[0].duration + ' ms')
             }
 
             let jsonResponse = await super.post('/render', timeout)

ui/media/js/main.js

@@ -263,6 +263,7 @@ function showImages(reqBody, res, outputContainer, livePreview) {
                     <div class="imgItemInfo">
                         <span class="imgSeedLabel"></span>
                     </div>
+                    <button class="imgPreviewItemClearBtn image_clear_btn"><i class="fa-solid fa-xmark"></i></button>
                 </div>
             `
             outputContainer.appendChild(imageItemElem)
@@ -275,6 +276,11 @@ function showImages(reqBody, res, outputContainer, livePreview) {
         imageElem.setAttribute('data-steps', imageInferenceSteps)
         imageElem.setAttribute('data-guidance', imageGuidanceScale)
 
+        const imageRemoveBtn = imageItemElem.querySelector('.imgPreviewItemClearBtn')
+        imageRemoveBtn.addEventListener('click', (e) => {
+            console.log(e)
+            shiftOrConfirm(e, "Remove the image from the results?", () => { imageItemElem.style.display = 'none' })
+        })
 
         const imageInfo = imageItemElem.querySelector('.imgItemInfo')
         imageInfo.style.visibility = (livePreview ? 'hidden' : 'visible')
@@ -288,7 +294,6 @@ function showImages(reqBody, res, outputContainer, livePreview) {
             imageSeedLabel.innerText = 'Seed: ' + req.seed
 
             let buttons = [
-                { text: 'Remove', on_click: onRemoveClick, class: 'secondaryButton' },
                 { text: 'Use as Input', on_click: onUseAsInputClick },
                 { text: 'Download', on_click: onDownloadImageClick },
                 { text: 'Make Similar Images', on_click: onMakeSimilarClick },
@@ -325,10 +330,6 @@ function showImages(reqBody, res, outputContainer, livePreview) {
     })
 }
 
-function onRemoveClick(req, img, event) {
-    shiftOrConfirm(event, "Remove the image from the results?", () => { findClosestAncestor(img, '.imgItem').style.display='none' })
-}
-
 function onUseAsInputClick(req, img) {
     const imgData = img.src
 
@@ -658,7 +659,7 @@ function onTaskCompleted(task, reqBody, instance, outputContainer, stepUpdate) {
         task.progressBar.classList.remove("active")
         setStatus('request', 'done', 'success')
     } else {
-        task.outputMsg.innerText += `Task ended after ${time}`
+        task.outputMsg.innerText += `. Task ended after ${time}`
     }
 
     if (randomSeedField.checked) {
@@ -673,6 +674,9 @@ function onTaskCompleted(task, reqBody, instance, outputContainer, stepUpdate) {
         return
     }
 
+    if (pauseClient) { 
+        resumeBtn.click() 
+    }
     renderButtons.style.display = 'none'
     renameMakeImageButton()
 
@@ -1313,7 +1317,7 @@ async function getModels() {
                     modelOption.value =  path + modelName
                     modelOption.innerHTML = modelName !== '' ? (path != "" ? "&nbsp;&nbsp;"+modelName : modelName) : 'None'
 
-                    if (modelName === selectedModel) {
+                    if (path + modelName === selectedModel) {
                         modelOption.selected = true
                     }
                     modelField.appendChild(modelOption)
@@ -1445,7 +1449,7 @@ function selectTab(tab_id) {
     let tabInfo = tabElements.find(t => t.tab.id == tab_id)
     if (!tabInfo.tab.classList.contains("active")) {
         tabElements.forEach(info => {
-            if (info.tab.classList.contains("active")) {
+            if (info.tab.classList.contains("active") && info.tab.parentNode === tabInfo.tab.parentNode) {
                 info.tab.classList.toggle("active")
                 info.content.classList.toggle("active")
             }
@@ -1466,6 +1470,9 @@ function linkTabContents(tab) {
 
     tab.addEventListener("click", event => selectTab(tab.id))
 }
+function isTabActive(tab) {
+    return tab.classList.contains("active")
+}
 
 let pauseClient = false
 

ui/media/js/parameters.js

@@ -101,7 +101,7 @@ var PARAMETERS = [
         note: "Faster performance requires more GPU memory (VRAM)<br/><br/>" +
               "<b>Balanced:</b> nearly as fast as High, much lower VRAM usage<br/>" +
               "<b>High:</b> fastest, maximum GPU memory usage</br>" +
-              "<b>Low:</b> slowest, force-used for GPUs with 3 to 4 GB memory",
+              "<b>Low:</b> slowest, recommended for GPUs with 3 to 4 GB memory",
         icon: "fa-forward",
         default: "balanced",
         options: [

ui/plugins/ui/merge.plugin.js

@@ -0,0 +1,471 @@
+(function() {
+    "use strict"
+
+    ///////////////////// Function section
+    function smoothstep(x) {
+        return x * x * (3 - 2 * x)
+    }
+
+    function smootherstep(x) {
+        return x * x * x * (x * (x * 6 - 15) + 10)
+    }
+
+    function smootheststep(x) {
+        let y = -20 * Math.pow(x, 7)
+        y += 70 * Math.pow(x, 6)
+        y -= 84 * Math.pow(x, 5)
+        y += 35 * Math.pow(x, 4)
+        return y
+    }
+    function getCurrentTime() {
+        const now = new Date();
+        let hours = now.getHours();
+        let minutes = now.getMinutes();
+        let seconds = now.getSeconds();
+
+        hours = hours < 10 ? `0${hours}` : hours;
+        minutes = minutes < 10 ? `0${minutes}` : minutes;
+        seconds = seconds < 10 ? `0${seconds}` : seconds;
+
+        return `${hours}:${minutes}:${seconds}`;
+    }
+
+    function addLogMessage(message) {
+        const logContainer = document.getElementById('merge-log');
+        logContainer.innerHTML += `<i>${getCurrentTime()}</i> ${message}<br>`;
+
+        // Scroll to the bottom of the log
+        logContainer.scrollTop = logContainer.scrollHeight;
+
+        document.querySelector('#merge-log-container').style.display = 'block'
+    }    
+
+    function addLogSeparator() {
+        const logContainer = document.getElementById('merge-log');
+        logContainer.innerHTML += '<hr>'
+
+        logContainer.scrollTop = logContainer.scrollHeight;
+    }
+
+    function drawDiagram(fn) {
+        const SIZE = 300
+        const canvas = document.getElementById('merge-canvas');
+        canvas.height = canvas.width = SIZE
+        const ctx = canvas.getContext('2d');
+
+        // Draw coordinate system
+        ctx.scale(1, -1);
+        ctx.translate(0, -canvas.height);
+        ctx.lineWidth = 1;
+        ctx.beginPath();
+
+        ctx.strokeStyle = 'white'
+        ctx.moveTo(0,0); ctx.lineTo(0,SIZE); ctx.lineTo(SIZE,SIZE); ctx.lineTo(SIZE,0); ctx.lineTo(0,0); ctx.lineTo(SIZE,SIZE);
+        ctx.stroke()
+        ctx.beginPath()
+        ctx.setLineDash([1,2])
+        const n = SIZE / 10
+        for (let i=n; i<SIZE; i+=n) {
+            ctx.moveTo(0,i)
+            ctx.lineTo(SIZE,i)
+            ctx.moveTo(i,0)
+            ctx.lineTo(i,SIZE)
+        }
+        ctx.stroke()
+        ctx.beginPath()
+        ctx.setLineDash([])
+        ctx.beginPath();
+        ctx.strokeStyle = 'black'
+        ctx.lineWidth = 3;
+        // Plot function
+        const numSamples = 20;
+        for (let i = 0; i <= numSamples; i++) {
+            const x = i / numSamples;
+            const y = fn(x);
+        
+            const canvasX = x * SIZE;
+            const canvasY = y * SIZE;
+
+            if (i === 0) {
+                ctx.moveTo(canvasX, canvasY);
+            } else {
+                ctx.lineTo(canvasX, canvasY);
+            }
+        }
+        ctx.stroke()
+        // Plot alpha values (yellow boxes)
+        let start = parseFloat( document.querySelector('#merge-start').value )
+        let step = parseFloat( document.querySelector('#merge-step').value )
+        let iterations = document.querySelector('#merge-count').value>>0
+        ctx.beginPath()
+        ctx.fillStyle = "yellow"
+        for (let i=0; i< iterations; i++) {
+            const alpha = ( start + i * step ) / 100
+            const x = alpha*SIZE
+            const y = fn(alpha) * SIZE
+            if (x <= SIZE) {
+                ctx.rect(x-3,y-3,6,6)
+                ctx.fill()
+            } else {
+                ctx.strokeStyle = 'red'
+                ctx.moveTo(0,0); ctx.lineTo(0,SIZE); ctx.lineTo(SIZE,SIZE); ctx.lineTo(SIZE,0); ctx.lineTo(0,0); ctx.lineTo(SIZE,SIZE);
+                ctx.stroke()
+                addLogMessage('<i>Warning: maximum ratio is &#8805; 100%</i>')
+            }
+        }
+    }
+
+    function updateChart() {
+        let fn = (x) => x
+        switch (document.querySelector('#merge-interpolation').value) {
+            case 'SmoothStep':
+                fn = smoothstep
+                break
+            case 'SmootherStep':
+                fn = smootherstep
+                break
+            case 'SmoothestStep':
+                fn = smootheststep
+                break
+        }
+        drawDiagram(fn)
+    }
+
+    /////////////////////// Tab implementation
+    document.querySelector('.tab-container')?.insertAdjacentHTML('beforeend', `
+        <span id="tab-merge" class="tab">
+            <span><i class="fa fa-code-merge icon"></i> Merge models <small>(beta)</small></span>
+        </span>
+    `)
+
+    document.querySelector('#tab-content-wrapper')?.insertAdjacentHTML('beforeend', `
+        <div id="tab-content-merge" class="tab-content">
+            <div id="merge" class="tab-content-inner">
+                Loading..
+            </div>
+        </div>
+    `)
+
+    const tabMerge = document.querySelector('#tab-merge')
+    if (tabMerge) {
+        linkTabContents(tabMerge)
+    }
+    const merge = document.querySelector('#merge')
+    if (!merge) {
+        // merge tab not found, dont exec plugin code.
+        return
+    }
+
+    document.querySelector('body').insertAdjacentHTML('beforeend', `
+        <style>
+        #tab-content-merge .tab-content-inner {
+            max-width: 100%;
+            padding: 10pt;
+        }
+        .merge-container {  
+            margin-left: 15%;
+            margin-right: 15%;
+            text-align: left;
+            display: inline-grid;
+            grid-template-columns: 1fr 1fr;
+            grid-template-rows: auto auto auto;
+            gap: 0px 0px;
+            grid-auto-flow: row;
+            grid-template-areas:
+              "merge-input merge-config"
+              "merge-buttons merge-buttons";
+        }
+        .merge-container p {
+            margin-top: 3pt;
+            margin-bottom: 3pt;
+        }
+        .merge-config .tab-content {
+            background: var(--background-color1);
+            border-radius: 3pt;
+        }
+        .merge-config .tab-content-inner {
+            text-align: left;
+        }
+
+        .merge-input { 
+            grid-area: merge-input; 
+            padding-left:1em;
+        }
+        .merge-config { 
+            grid-area: merge-config; 
+            padding:1em;
+        }
+        .merge-config input { 
+            margin-bottom: 3px; 
+        }
+        .merge-config select { 
+            margin-bottom: 3px; 
+        }
+        .merge-buttons { 
+            grid-area: merge-buttons; 
+            padding:1em; 
+            text-align: center;
+        }
+        #merge-button  { 
+            padding: 8px; 
+            width:20em; 
+        }
+        div#merge-log {
+            height:150px; 
+            overflow-x:hidden;
+            overflow-y:scroll;
+            background:var(--background-color1);
+            border-radius: 3pt;
+        }
+        div#merge-log i {
+            color: hsl(var(--accent-hue), 100%, calc(2*var(--accent-lightness))); 
+            font-family: monospace;
+        }
+        .disabled { 
+            background: var(--background-color4); 
+            color: var(--text-color); 
+        }
+        #merge-type-tabs {
+            border-bottom: 1px solid black;
+        }
+        #merge-log-container {
+            display: none;
+        }
+        .merge-container #merge-warning {
+            color: rgb(153, 153, 153);
+        }
+        </style>
+    `)
+
+    merge.innerHTML = `
+    <div class="merge-container panel-box">
+      <div class="merge-input">
+         <p><label for="#mergeModelA">Select Model A:</label></p>
+         <select id="mergeModelA">
+             <option>A</option>
+         </select>
+         <p><label for="#mergeModelB">Select Model B:</label></p>
+         <select id="mergeModelB">
+             <option>A</option>
+         </select>
+         <br/><br/>
+         <p id="merge-warning"><small><b>Important:</b> Please merge models of similar type.<br/>For e.g. <code>SD 1.4</code> models with only <code>SD 1.4/1.5</code> models,<br/><code>SD 2.0</code> with <code>SD 2.0</code>-type, and <code>SD 2.1</code> with <code>SD 2.1</code>-type models.</small></p>
+         <br/>
+         <table>
+            <tr>
+                <td><label for="#merge-filename">Output file name:</label></td>
+                <td><input id="merge-filename" size=24> <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Base name of the output file.<br>Mix ratio and file suffix will be appended to this.</span></i></td>
+            </tr>
+            <tr>
+                <td><label for="#merge-fp">Output precision:</label></td>
+                <td><select id="merge-fp">
+                    <option value="fp16">fp16 (smaller file size)</option>
+                    <option value="fp32">fp32 (larger file size)</option>
+                </select>
+                <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Image generation uses fp16, so it's a good choice.<br>Use fp32 if you want to use the result models for more mixes</span></i>
+                </td>
+            </tr>
+            <tr>
+                <td><label for="#merge-format">Output file format:</label></td>
+                <td><select id="merge-format">
+                    <option value="safetensors">Safetensors (recommended)</option>
+                    <option value="ckpt">CKPT/Pickle (legacy format)</option>
+                </select>
+                </td>
+            </tr>
+         </table>
+         <br/>
+         <div id="merge-log-container">
+            <p><label for="#merge-log">Log messages:</label></p>
+            <div id="merge-log"></div>
+         </div>
+      </div>
+      <div class="merge-config">
+         <div class="tab-container">
+            <span id="tab-merge-opts-single" class="tab active">
+                <span>Make a single file</small></span>
+            </span>
+            <span id="tab-merge-opts-batch" class="tab">
+                <span>Make multiple variations</small></span>
+            </span>
+         </div>
+         <div>
+            <div id="tab-content-merge-opts-single" class="tab-content active">
+                <div class="tab-content-inner">
+                    <small>Saves a single merged model file, at the specified merge ratio.</small><br/><br/>
+                    <label for="#single-merge-ratio-slider">Merge ratio:</label>
+                    <input id="single-merge-ratio-slider" name="single-merge-ratio-slider" class="editor-slider" value="50" type="range" min="1" max="1000">
+                    <input id="single-merge-ratio" size=2 value="5">%
+                    <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Model A's contribution to the mix. The rest will be from Model B.</span></i>
+                </div>
+            </div>
+            <div id="tab-content-merge-opts-batch" class="tab-content">
+                <div class="tab-content-inner">
+                    <small>Saves multiple variations of the model, at different merge ratios.<br/>Each variation will be saved as a separate file.</small><br/><br/>
+                    <table>
+                        <tr><td><label for="#merge-count">Number of variations:</label></td>
+                            <td> <input id="merge-count" size=2 value="5"></td>
+                            <td> <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Number of models to create</span></i></td></tr>
+                        <tr><td><label for="#merge-start">Starting merge ratio:</label></td>
+                            <td> <input id="merge-start" size=2 value="5">%</td>
+                            <td> <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Smallest share of model A in the mix</span></i></td></tr>
+                        <tr><td><label for="#merge-step">Increment each step:</label></td>
+                            <td> <input id="merge-step" size=2 value="10">%</td>
+                            <td> <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Share of model A added into the mix per step</span></i></td></tr>
+                        <tr><td><label for="#merge-interpolation">Interpolation model:</label></td>
+                            <td> <select id="merge-interpolation">
+                                <option>Exact</option>
+                                <option>SmoothStep</option>
+                                <option>SmootherStep</option>
+                                <option>SmoothestStep</option>
+                            </select></td>
+                            <td> <i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Sigmoid function to be applied to the model share before mixing</span></i></td></tr>
+                    </table>
+                    <br/>
+                    <small>Preview of variation ratios:</small><br/>
+                    <canvas id="merge-canvas" width="400" height="400"></canvas>
+                </div>
+            </div>
+         </div>
+      </div>
+      <div class="merge-buttons">
+         <button id="merge-button" class="primaryButton">Merge models</button>
+      </div>
+    </div>`
+
+    const tabSettingsSingle = document.querySelector('#tab-merge-opts-single')
+    const tabSettingsBatch = document.querySelector('#tab-merge-opts-batch')
+    linkTabContents(tabSettingsSingle)
+    linkTabContents(tabSettingsBatch)
+
+    /////////////////////// Event Listener
+    document.addEventListener('tabClick', (e) => { 
+        if (e.detail.name == 'merge') {
+	    console.log('Activate')
+            let modelList = stableDiffusionModelField.cloneNode(true)
+            modelList.id = "mergeModelA"
+            document.querySelector("#mergeModelA").replaceWith(modelList)
+            modelList = stableDiffusionModelField.cloneNode(true)
+            modelList.id = "mergeModelB"
+            document.querySelector("#mergeModelB").replaceWith(modelList)
+            updateChart()
+	}
+    })
+
+    // slider
+    const singleMergeRatioField = document.querySelector('#single-merge-ratio')
+    const singleMergeRatioSlider = document.querySelector('#single-merge-ratio-slider')
+
+    function updateSingleMergeRatio() {
+        singleMergeRatioField.value = singleMergeRatioSlider.value / 10
+        singleMergeRatioField.dispatchEvent(new Event("change"))
+    }
+
+    function updateSingleMergeRatioSlider() {
+        if (singleMergeRatioField.value < 0) {
+            singleMergeRatioField.value = 0
+        } else if (singleMergeRatioField.value > 100) {
+            singleMergeRatioField.value = 100
+        }
+
+        singleMergeRatioSlider.value = singleMergeRatioField.value * 10
+        singleMergeRatioSlider.dispatchEvent(new Event("change"))
+    }
+
+    singleMergeRatioSlider.addEventListener('input', updateSingleMergeRatio)
+    singleMergeRatioField.addEventListener('input', updateSingleMergeRatioSlider)
+    updateSingleMergeRatio()
+
+    document.querySelector('.merge-config').addEventListener('change', updateChart)
+
+    document.querySelector('#merge-button').addEventListener('click', async function(e) {
+        // Build request template
+        let model0 = document.querySelector('#mergeModelA').value
+        let model1 = document.querySelector('#mergeModelB').value
+        let request = { model0: model0, model1: model1 }
+        request['use_fp16'] = document.querySelector('#merge-fp').value == 'fp16'
+        let iterations = document.querySelector('#merge-count').value>>0
+        let start = parseFloat( document.querySelector('#merge-start').value )
+        let step = parseFloat( document.querySelector('#merge-step').value )
+
+        if (isTabActive(tabSettingsSingle)) {
+            start = parseFloat(singleMergeRatioField.value)
+            step = 0
+            iterations = 1
+            addLogMessage(`merge ratio = ${start}%`)
+        } else {
+            addLogMessage(`start = ${start}%`)
+            addLogMessage(`step  = ${step}%`)
+        }
+
+        if (start + (iterations-1) * step >= 100) {
+            addLogMessage('<i>Aborting: maximum ratio is &#8805; 100%</i>')
+            addLogMessage('Reduce the number of variations or the step size')
+            addLogSeparator()
+            document.querySelector('#merge-count').focus()
+            return
+        }
+
+        if (document.querySelector('#merge-filename').value == "") {
+            addLogMessage('<i>Aborting: No output file name specified</i>')
+            addLogSeparator()
+            document.querySelector('#merge-filename').focus()
+            return
+        }
+        
+        // Disable merge button
+        e.target.disabled=true
+        e.target.classList.add('disabled')
+        let cursor = $("body").css("cursor");
+        let label = document.querySelector('#merge-button').innerHTML
+        $("body").css("cursor", "progress");
+        document.querySelector('#merge-button').innerHTML = 'Merging models ...'
+
+        addLogMessage("Merging models")
+        addLogMessage("Model A: "+model0)
+        addLogMessage("Model B: "+model1)
+
+        // Batch main loop
+        for (let i=0; i<iterations; i++) {
+            let alpha = ( start + i * step ) / 100
+            switch (document.querySelector('#merge-interpolation').value) {
+                case 'SmoothStep':
+                    alpha = smoothstep(alpha)
+                    break
+                case 'SmootherStep':
+                    alpha = smootherstep(alpha)
+                    break
+                case 'SmoothestStep':
+                    alpha = smootheststep(alpha)
+                    break
+            }
+            addLogMessage(`merging batch job ${i+1}/${iterations}, alpha = ${alpha.toFixed(5)}...`)
+
+            request['out_path'] = document.querySelector('#merge-filename').value
+            request['out_path'] += '-' + alpha.toFixed(5) + '.' + document.querySelector('#merge-format').value
+            addLogMessage(`&nbsp;&nbsp;filename: ${request['out_path']}`)
+
+            request['ratio'] = alpha
+            let res = await fetch('/model/merge', {
+                  method: 'POST',
+                  headers: { 'Content-Type': 'application/json' },
+                  body: JSON.stringify(request) })
+            const data = await res.json();
+            addLogMessage(JSON.stringify(data))
+        }
+        addLogMessage("<b>Done.</b> The models have been saved to your <tt>models/stable-diffusion</tt> folder.")
+        addLogSeparator()
+        // Re-enable merge button
+        $("body").css("cursor", cursor);
+        document.querySelector('#merge-button').innerHTML = label
+        e.target.disabled=false
+        e.target.classList.remove('disabled')
+
+        // Update model list
+        stableDiffusionModelField.innerHTML = ''
+        vaeModelField.innerHTML = ''
+        hypernetworkModelField.innerHTML = ''
+        await getModels()
+    })
+
+})()

ui/plugins/ui/release-notes.plugin.js

@@ -9,7 +9,7 @@
         }
     }
 
-    document.querySelector('#tab-container')?.insertAdjacentHTML('beforeend', `
+    document.querySelector('.tab-container')?.insertAdjacentHTML('beforeend', `
         <span id="tab-news" class="tab">
             <span><i class="fa fa-bolt icon"></i> What's new?</span>
         </span>