Image To Image Tutorial In 13 Minutes – Stable Diffusion (Automatic1111)
TLDRThis tutorial delves into the image-to-image feature of Automatic One, guiding users through the process of modifying existing images using prompts and various tools. It covers options like sketch, paint, and batch generation, and introduces new features such as mask mode and custom seeds for greater control over image generation. The guide aims to help users efficiently utilize the software for creating tailored images while maintaining the original context and details.
Takeaways
- 🎨 Image to image functionality in AI art tools allows modification of existing images using prompts.
- 🔄 The image box is central to the image to image process, where the target image is uploaded for modification.
- 📝 The prompt box influences how the existing image changes to match the prompt, unlike text to image which creates new images.
- 🚫 Negative prompts help refine images by specifying elements to avoid in the final output.
- 🤖 Interrogate clip is a tool that suggests a series of prompts to replicate the provided image based on tagging.
- 🌐 Doroo tags provide more accurate results by focusing on specific image content closely related to the image.
- 🖌️ Sketch tab enables drawing on the reference image to influence the new image, such as changing color of specific areas.
- 🎭 Paint tab is a powerful feature for masking parts of an image to generate new content within a specified area based on prompts.
- 🖼️ Additional options in paint like mask blur, mask mode, and mask content fill provide more control over the in-painting process.
- 📏 Resize mode options in paint allow for fitting the generated image within a specified resolution, either by stretching, cropping, or filling.
- 🔄 Batch processing is used for generating multiple images at once from a directory of reference photos with specified output locations.
- 🔧 Custom scripts can be utilized for additional functionalities in stable diffusion, enhancing the user experience.
Q & A
What is the primary function of the 'image to image' feature in Automatic One?
-The 'image to image' feature allows users to modify an existing image by incorporating prompts, thus making adjustments and transformations to the original image.
How does the image box differ between the 'text to image' and 'image to image' tabs?
-In the 'text to image' tab, the image box is used to generate a new image from prompts alone, while in the 'image to image' tab, it is used to place the image that one wishes to modify.
What role does the prompt box play in the 'image to image' process?
-The prompt box in 'image to image' influences how the existing image should change to match the prompt, as opposed to generating a new image from scratch like in 'text to image'.
How does the 'negative prompt' work in the process?
-The negative prompt specifies elements that should be avoided in the image, and increasing the waiting value will reduce the presence of those unwanted elements.
What is the interrogate clip tool and how does it function?
-The interrogate clip is a tool that takes a given image and suggests a series of prompts to attempt to replicate the image, using tagging to generate results that can differ greatly from the original.
What is the purpose of the 'mask mode' in the 'paint' tab?
-The mask mode in the 'paint' tab determines whether only the masked portion or the entire image outside the mask is filled with newly generated content based on the prompts.
How does the 'mask blur' option affect the in-painting process?
-The mask blur applies a blur to the edge of the mask, which can strengthen the in-painting in that area with a sharper mask or lessen the effect with a blurrier mask.
What is the 'batch' feature used for in the application?
-The 'batch' feature is used for generating multiple images at once by specifying an input directory for reference photos and an output directory for the generated images.
How does the 'resize mode' affect the generated images?
-The 'resize mode' determines how the generated image fits within the specified resolution, with options like 'just resize', 'crop and resize', and 'resize and fill' affecting how the image is adjusted.
What is the 'CFG scale' and how does it influence the image generation?
-The 'CFG scale' determines how strongly the generated image should conform to the prompt, with higher values leading to more conformity and lower values allowing for more unrelated content.
How can the 'seed' option be utilized for consistency in image generation?
-The 'seed' is a random number that determines the variation of the generated image. Using the same seed will produce the same image each time, provided no other settings are changed.
Outlines
🎨 Image-to-Image Functionality Overview
This paragraph introduces the image-to-image (imp) feature in Automatic, a tool that allows users to modify existing images using prompts through a process called inpainting. The tutorial aims to guide users through the various options with examples, encouraging them to spend more time creating and less time reading. The key difference between text-to-image and image-to-image is the image box, where users place the image they wish to modify. This can be done by dragging and dropping, and then combining with prompts and other tools for further adjustments. The prompt box works similarly but influences how the existing image should change to match the prompt based on denoising strength. The negative prompt helps the software avoid certain elements in the image. The paragraph also touches on the interrogate clip tool, which suggests a series of prompts to replicate the provided image, and the Deep Buu feature, which generates prompts based on damaru tags for more accurate results.
🖌️ In-Depth Discussion on Paint and Sketch Tools
This paragraph delves into the sketch and paint tools available in Automatic's image-to-image feature. Sketch allows users to draw on the reference image and influence the new image with those adjustments. The paint tool is one of the most powerful, allowing users to mask a portion of the image and generate a new image within that specific mask location. Additional options in the paint section include mask blur, mask mode, mask content, and latent noise. The paragraph also explains the difference between the 'whole picture' and 'only mask' options for in painting, as well as mask padding pixels. It concludes with a brief mention of the resize mode and its variations, such as just resize, crop and resize, and resize and fill.
🛠️ Advanced Features and Customization Options
The final paragraph discusses advanced features and customization options in Automatic, including the use of scripts, the interrupt and skip functions, and the Styles box, which has been updated for easier style creation, deletion, and editing. Styles can be applied directly to prompts or specified within prompts using curly brackets. The paragraph also covers the image box, where the generated image appears, and the various options available when viewing the image, such as zoom view, tiling, saving, and exiting the zoom view. Additional tools like the folder icon, save dis icon, filing cabinet icon, canvas icon, and ruler are explained, highlighting their functions in managing, saving, and enhancing the generated images.
Mindmap
Keywords
💡Image to Image
💡Imp Painting
💡Denoising Strength
💡Interrogate Clip
💡Deep Buu
💡In Paint
💡Mask Blur
💡Mask Mode
💡Latent Noise
💡Paint Sketch
💡Batch Processing
💡Resize Modes
Highlights
Image to image is a powerful feature within Automatic One, allowing modification of existing images through prompts.
The image box is used to place the image for modification by dragging and dropping.
The Prompt box influences how the existing image should change to match the prompt, unlike text to image which generates a new image.
The negative prompt helps refine the image by specifying elements to avoid.
Interrogate clip is a tool that suggests a series of prompts to replicate the provided image.
Deep Buu generates a series of prompts based on damaru tags, which can yield better results than interrogate clip.
Doro is an image board for art, providing tags that can closely match the image for improved results.
The Sketch tab allows drawing on the reference image to influence the new image.
In Paint, you can mask a portion of the image to generate new content within that specific area.
Mask blur applies a blur to the edge of the mask, affecting the strength of the in-painting.
Mask mode determines whether only the masked area or the entire image outside the mask is filled with new content.
Mask content fill uses a blurred version of the mask area to draw prompted details, providing room for stable diffusion interpretation.
Original fills the masked area with changes based on the original content of the section to be altered.
Latent noise fills the masked space with random noise and generates an image within that space.
Paint area determines whether the whole image or just the mask area is modified during the in-painting process.
Mask padding pixel helps blend the surrounding area and the image within the mask by understanding the context of the image.
Sketch allows drawing a mask with color, improving stable diffusion's understanding of objects by recognizing color, shape, and description.
Upload allows using a custom mask for the reference image, offering more precision than hand painting.
Batch is used for generating multiple images at once by specifying input and output directories, and mask association.
