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Image generation

Let's dive into the settings of image generation models like Focus and Juggernaut. Most of these models are based on Stable Diffusion.

Fooocus and other SD nodes

  • Prompt: Describe what you want the image to look like, including content and style.

  • Priority Queue: Set the order for processing requests.

  • Negative Prompt: Specify what to avoid in the image to reduce mistakes like extra fingers.

  • Style Selections: Choose the look or theme you want. Check GitHub for community examples. https://github.com/lllyasviel/Fooocus/discussions/2082

https://github.com/lllyasviel/Fooocus/discussions/143

  • Performance Selections: Adjust settings to balance speed and quality.

  • Aspect Ratios: Choose the shape of the image.

  • Image Number: Decide how many images you want to create.

  • Image Seed: Use this for consistent results. The default is -1, but you can use specific numbers.

  • Loras Custom URLs: Add external URLs for specific styles.

  • Sharpness: Adjust how clear and detailed the image is.

  • Guidance Scale: Balance between following the prompt and creative freedom.

  • Refiner Switch: Choose whether to use a refining model to improve quality after generation.

  • Uov Input Image: Select an image for transformations or guidance.

  • Uov Upscale Value: Increase the image resolution.

  • Inpaint Additional Prompt: Give extra details for filling in masked areas.

  • Inpaint Input Image: The base image to be modified.

  • Inpaint Input Mask: The mask defining which areas to change.

  • Inpaint Strength: Control how much the inpainting follows the prompt.

  • Outpaint Selections: Settings for extending the image beyond its original borders.

  • Outpaint Distance: Specify how much to extend the image in each direction (left, top, right, bottom).

  • Cn Prefix Fields: Upload images to mix and match, or use masks to add elements.

Similar concepts you can apply to other Stable Diffusion-like models as Juggernaut XL.

DALL·E node

Let’s look at Dalle node fields:

  • Prompt: Describe what you want the image to look like, including content and style.

  • Model: Choose the model to create the image.

  • N: Decide how many images to generate for comparison or selection.

  • Quality: Choose the resolution or quality of the image.

  • Response Format: Decide how the generated image will be returned.

  • Size: Set the dimensions of the image.

  • Style: Choose the artistic style or theme.

  • Image: Provide an input image for transformation or as a base for new variations.

  • Mask: Define which parts of the image to change.

Operation: Start the image creation process based on your specifications.

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