Generation Basics

Generation Basics

Three generation modes

Mode	Description
Text to Image	Generate from positive and negative prompts
Image to Image	Transform an existing image with adjustable denoise strength
Inpainting	Selectively edit parts of an image with a built-in canvas mask editor

Switch modes with a single click. Settings carry over between modes. For the inpaint canvas see Inpainting and the Canvas Editor.

Core controls

• Positive and negative prompts - multi-line, manually resizable. See Prompting Guide for wildcards, presets, scheduling, and more.
• Checkpoint selector - searchable, auto-populated from ComfyUI, with recommended models that auto-download on selection (progress bar + file size).
• VAE selector - optional override; defaults to the checkpoint's built-in VAE.
• LoRA support - add unlimited LoRAs with independent model/CLIP strength sliders (0 to 2), per-LoRA enable/disable, searchable dropdown, and an active-count badge. See also LoRA presets in the Prompting Guide.
• Sampler and scheduler - all ComfyUI samplers and schedulers.
• Steps - 1 to 150.
• CFG scale - 0 to 30, 0.1 precision.
• Seed - fixed, or -1 for a new random seed each generation.
• Batch size - 1 to 8 images per prompt.
• Denoise strength - 0 to 1 for img2img and inpainting.

Dimension controls

• Aspect ratio presets - 1:1, 4:3, 3:2, 16:9, 21:9, 3:4, 2:3, 9:16.
• Custom aspect ratio - enter any width/height; the ratio is maintained when you adjust resolution.
• Swap dimensions - one-click width/height swap.
• Resolution slider - 64px to 2048px, dimensions computed from your aspect ratio.

Smart model detection

MooshieUI recognizes a wide range of model architectures and auto-applies optimal sampler, scheduler, steps, CFG, and resolution for each. Highlights:

• Accelerated variants (turbo, lightning, lcm, hyper in the name) get reduced steps and lower CFG automatically.
• Rectified-flow models (SD3, Flux, AuraFlow, Mugen, Nanosaur, and others) inject the correct ModelSampling node with architecture-specific shift values.
• Flux Dev models auto-inject FluxGuidance; Flux Schnell is detected and skipped.
• Models are identified by SHA256 hash (CivitAI AutoV2 format), so renamed files are still recognized.

See Models and the Model Hub for the full list and the model browser.

Real-time progress

• Live preview of the image as it generates (latent previews over WebSocket).
• Phase labels ("Generating...", "Upscaling...", "Preparing...") with a step counter.
• Progress bar (indigo for generation, emerald for the upscale pass).
• Cancel button to interrupt any generation.

A persistent download banner shows active downloads (models, ControlNet, LLM, etc.) with per-file speed and progress. A notification bell keeps a history of success/warning/error/info messages. On desktop, a collapsible terminal log panel streams live ComfyUI and app output.