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[enhancement]: Generation Presets to Save and Load All Settings (Model, LoRAs, Prompts, etc.) #8640

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@aboaboabo00001-del

Is there an existing issue for this?

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What should this feature add?

Is your feature request related to a problem? Please describe. Yes. Currently, switching between different generation setups (e.g., one style for realistic portraits, another for anime, a third for landscapes) is a manual and time-consuming process.

Each time I switch, I have to manually change:

The checkpoint model

The positive and negative prompts

Multiple LoRAs and their specific weights

Sampler settings, steps, CFG scale, resolution, etc.

Loading metadata from a previously generated image or using the workflow system are possible workarounds, but these methods are often cumbersome and slow (煩わしい - bothersome) when all I want to do is quickly load a frequently used "favorite" setup.

Describe the solution you'd like I propose a new "Preset" or "Template" feature.

This feature would allow a user to save the entire current state of the generation parameters into a named preset (e.g., "My Portrait Style", "Anime Setup v1").

A preset should save and be able to reload all of the following settings with one click:

Positive Prompt

Negative Prompt

Checkpoint Model

All applied LoRAs and their individual weights

All other core settings (Sampler, Steps, CFG Scale, Resolution, etc.)

This would allow users to build a library of their favorite setups and switch between them instantly from a simple dropdown menu, drastically speeding up the workflow.

Alternatives

Loading from Image Metadata: This is useful but requires me to find a specific image that has the settings I want. It's not as fast or organized as selecting a named preset from a list.

Workflows: The workflow system is very powerful, but it can be too complex for this simple use case. A preset system would be a more user-friendly feature for saving and loading common setups quickly.

Additional Content

This feature would save a significant amount of time by eliminating the repetitive manual task of changing models and LoRAs. It would make the tool much more efficient for artists who work with multiple distinct styles.

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