Somewhat modular text2image GUI, initially just for Stable Diffusion.

Relies on a slightly customized fork of the InvokeAI Stable Diffusion code (formerly lstein): Code Repo

• GPU: Nvidia GPU with 4 GB VRAM, Maxwell Architecture (2014) or newer
• RAM: 8 GB RAM (Note: Pagefile must be enabled as swapping will occur with only 8 GB!)
• Disk: 12 GB (another free 2 GB for temporary files recommended)

• GPU: Nvidia GPU with 8 GB VRAM, Pascal Architecture (2016) or newer
• RAM: 16 GB RAM
• Disk: 12 GB on SSD (another free 2 GB for temporary files recommended)

• GPU: Nvidia GPU with 24GB VRAM, Turing Architecture (2018) or newer
• RAM: 32 GB RAM
• Disk: 12 GB on NVME SSD (another free 25 GB for temporary files recommended)

• Multiple prompts at once: Enter each prompt on a new line (newline-separated). Word wrapping does not count towards this.
• Exclusion Words: Put words or phrases into [square brackets] to tell the AI to exclude those things when generating images.
• Emphasis: Use (parentheses) to make a word/phrase more impactful, or {curly brackets} to do the opposite. You can also use ((multiple)).

• Load Image: Load an initialization image that will be used together with your text prompt ("img2img")
• Load Concept: Load a Textual Inversion concept to apply a style or use a specific character

• Steps: More steps can increase detail, but only to a certain extend. Depending on the sampler, 20-60 is a good range.

  • Has a linear performance impact: Doubling the step count means each image takes twice as long to generate.

• Prompt Guidance (CFG Scale): Lower values are closer to the raw output of the AI, higher values try to respect your prompt more accurately.

  • Use low values if you are happy with the AI's representation of your prompt. Use higher values if not - but going too high will degrade quality.
  • No performance impact, no matter the value.

• Seed: Starting value for the image generation. Allows you to create the exact same image again by using the same seed.

  • When using the same seed, the image will only be identical if you also use the same sampler and resolution (and other settings).

• Resolution: Adjust image size. Only values that are divisible by 64 are possible. Sizes above 512x512 can lead to repeated patterns.

  • Higher resolution images require more VRAM and are slower to generate.

• Sampler: Changes the way images are sampled. Euler Ancestral is the default because it's fast and tends to look good even with few steps.

• Generate Seamless Images: Generates seamless/tileable images, very useful for making game textures or repeating backgrounds.

• Review current images: Use the scroll wheel while hovering over the image to go to the previous/next image.
• Slideshow: The image viewer always shows the newest generated image if you haven't manually changed it in the last 3 seconds.
• Context Menu: Right-click into the image area to show more options.
• Pop-Up Viewer: Click into the image area to open the current image in a floating window.
  • Use the mouse wheel to change the window's size (zoom), right-click for more options, double-click to toggle fullscreen.

• Low Memory Mode: Use "optimizedSD" implementation that is very slow, but requires less VRAM. Not recommended unless you need it.
• Use Full Precision: Use FP32 instead of FP16 math, which requires more VRAM but can fix certain compatibility issues.
• Unload Model After Each Generation: Completely unload Stable Diffusion after images are generated.
• Stable Diffusion Model File: Select the model file to use for image generation.
  • Included models are located in Data/models. You can add more folder paths by clicking on "Folders...".
• CUDA Device: Allows your to specify the GPU to run the AI on, or set it to run on the CPU (very slow).
• Image Output Folder: Set the folder where your generated images will be saved.
• Create a Subfolder for Each Prompt: If enabled, images will be saved in a folder named after their prompt.
• Metadata to Include in Filename: Specify which information should be included in the filename.
• When Running Multiple Prompts, Use Same Starting Seed for All of Them: If enabled, the seed resets to the starting value for every new prompt. If disabled, the seed will be incremented by 1 after each iteration, being sequential until all prompts/iterations have been generated.
• When Post-Processing Is Enabled, Also Save Un-Processed Image: When enabled, both the "raw" and the post-processed image will be saved.
• Advanced Mode: Increases the limits of the sliders in the main window. Not very useful most of the time unless you really need those high values.
• Notify When Image Generation Has Finished: Play a sound, show a notification, or do both if image generation finishes in background.

• Open Logs Folder: Opens the log folder of the current session. The application deletes logs older than 3 days on every startup.
• Copy <logname>.txt: Copy one of the log files generated in the current session to clipboard.

• Installation Status: Shows which modules are installed (checkboxes are not interactive and only indicate if a module is installed correctly!).
• Redownload SD Model: Re-downloads Stable Diffusion 1.4 model (4 GB) from Google Storage servers.
• Re-Install SD Code: Re-installs the Stable Diffusion code from its repository. Can fix some issues related to file paths.
• Re-Install Upscalers: (Re-)Installs upscaling files (RealESRGAN, GFPGAN, CodeFormer, including model files).
• (Re-)Install: Installs everything. Skips already installed components.
• Uninstall: Removes everything except for Conda which is included and needed for a re-installation.

• Open Dream.py CLI: Use Stable Diffusion in command-line interface
• Merge Models: Allows you to merge/blend two models. The percentage numbers represent their respective weight.
• Prune Models: Allows you to reduce the size of models by removing data that's not needed for image generation.
• View Log In Realtime: Opens a separate window that shows all log output, including messages that are not shown in the normal log box.
• Train DreamBooth Model: Allows you to train a model on a specific object or character using only a few images of it. (Guide)

• Upscaling: Set RealESRGAN upscaling factor.
• Face Restoration: Enable GFPGAN or CodeFormer for face restoration.

• Generate: Start AI image generation (or cancel if it's already running).
• Prompt Queue Button: Right-click to add the current settings to the queue, or left-click to manage the queued entries.
• Prompt History Button: View recent prompts, load them into the main window, search or clear history, or disable it.
• Image Deletion Button: Delete either the image that is being viewed currently, or all images from the current batch.
• Open Folder Button: Opens the (root) image output folder.
• Left/Right Buttons: Show the previous or next image from the current batch.

• CTRL+G: Run Image Generation (or Cancel if already running)
• CTRL+M: Show Model Quick Switcher (Once it's open, use ESC to Cancel or Enter to confirm)
• CTRL+PLUS: Toggle Prompt Textbox Size
• CTLR+DEL: Delete currently viewed image
• CTRL+SHIFT+DEL: Delete all generated images (of the current batch)
• CTRL+O: Open currently viewed image
• CTRL+SHIFT+O: Show current image in its folder
• CTRL+V: Paste Image (If clipboard contains a bitmap)
• CTRL+Q: Quit
• CTRL+Scroll: Change font size (only while mouse is over prompt text field)
• F1: Open Help (Currently links to GitHub Readme)
• F12: Open Settings