Stable Diffusion 3 Image To Image: Supercharged Image Editing

All Your Tech AI
29 Apr 202410:45

TLDRStability AI's Stable Diffusion 3 introduces an innovative image-to-image editing feature, allowing users to modify existing images with text prompts. The technology uses a source image along with a text prompt to generate new images, as demonstrated through various examples on pixel doo, a platform for experimenting with diffusion models. The results showcase the potential of AI in future image editing, offering creative possibilities while acknowledging the need for further refinement.


  • 🚀 Stability AI launched two models with Stable Diffusion 3: one for text-to-image generation and another for image-to-image editing.
  • 🔍 The image-to-image model allows users to modify an existing image using a text prompt along with the source image.
  • 🖼️ The process is demonstrated on a platform called Pixel Doo, which offers various diffusion models and image editing features.
  • 📝 Examples given include generating a tortoise holding bananas and altering expressions on a person's face from smiling to frowning.
  • 🎨 The model can add or change elements in an image, such as surrounding a character with apples or placing them in a modern city.
  • 🤖 It can also interpret creative prompts, like changing a man's television head to a pumpkin head and adding a sign with text.
  • 🍽️ Experiments with food images showed the model's ability to add mushrooms to a steak dinner or replace the steak with a chicken.
  • 📱 The model has limitations, as it struggled to incorporate inedible objects like cell phones or computers into a dinner setting.
  • 💡 The future of image editing is hinted at being AI-driven, allowing for significant creative control through text prompts.
  • 💰 Stable Diffusion 3 and its image-to-image model are available via API from Stability AI, with a minimum cost for API credits.
  • 🌐 Alternatively, users can access these models through Pixel Doo with a subscription, offering an easy-to-use interface for image creation.

Q & A

  • What are the two models or API endpoints launched by Stability AI with Stable Diffusion 3?

    -Stability AI launched two separate models with Stable Diffusion 3: one for generating images from text prompts, and the other for image-to-image editing where a source image and a text prompt are used to create a new image.

  • What is the main difference between text-to-image and image-to-image in Stable Diffusion 3?

    -The main difference is that in text-to-image, an image is generated from scratch using a text prompt, while in image-to-image, an existing image is used as a source, and the text prompt is used to modify or edit the source image to create a new image.

  • Can you provide an example of how image-to-image works using Stable Diffusion 3?

    -An example given in the script is using an image of a tortoise and a text prompt 'a tortoise holding bananas' to generate a new image where the tortoise is holding bananas.

  • What is the purpose of the website Pixel Doo mentioned in the transcript?

    -Pixel Doo is a project that allows users to experiment with the latest diffusion models, including upscaling and enhancing photos, creating different poses for characters, style transfer, and accessing Stable Diffusion 3 and its image-to-image feature.

  • How does Stable Diffusion 3 handle requests to remove elements from an image, as demonstrated in the transcript?

    -In the example provided, when asked to generate 'a tortoise without a shell', the model did not remove the shell but still generated a tortoise, indicating that the model may not always interpret the prompt literally.

  • What is the significance of the 'Turbo' option in Stable Diffusion 3 as mentioned in the script?

    -The 'Turbo' option in Stable Diffusion 3 is a faster model that uses fewer inference steps. However, it does not produce images of the same quality as the standard Stable Diffusion 3 model.

  • Can Stable Diffusion 3 generate images with text that is coherent with the image content?

    -Yes, as demonstrated in the script, Stable Diffusion 3 can generate images where the text is coherent with the image content, such as 'all your Tech AI' superimposed on a shirt in one of the examples.

  • How does the image-to-image feature handle requests for significant changes in the image, such as changing a man's head to a pumpkin?

    -The image-to-image feature can handle significant changes, as shown when the script describes changing a man's television head to a pumpkin head, maintaining the original aesthetic while incorporating the new element.

  • What are some limitations of the image-to-image feature as demonstrated in the script?

    -Some limitations include the model's reluctance to incorporate certain elements, such as cell phones or computers, into a dinner scene, even when prompted, indicating that it may not always follow the text prompt exactly as intended.

  • How can users access and utilize Stable Diffusion 3 and its image-to-image feature?

    -Users can access Stable Diffusion 3 and its image-to-image feature through the API provided by Stability AI, which requires purchasing API credits, or by using a service like Pixel Doo that offers a subscription for image creation using these models.



🖼️ Introduction to Stable Diffusion 3's Image-to-Image Model

Stability AI introduced two distinct models with the launch of Stable Diffusion 3: a text-to-image model and an image-to-image model. The latter, which is the focus of this paragraph, allows users to modify existing images using text prompts in addition to the source image. The speaker demonstrates this feature using the Pixel Doo platform, showcasing how images can be altered or enhanced with text instructions, such as changing a tortoise to hold bananas or a woman's expression from smiling to frowning. The examples illustrate the model's ability to interpret and apply text prompts to generate new images based on the source material.


🛠️ Exploring Advanced Image Editing with Stable Diffusion 3

This paragraph delves into the advanced capabilities of Stable Diffusion 3's image-to-image model. The speaker experiments with various prompts to manipulate images in creative ways, such as changing a man's television head to a pumpkin head or transforming a steak dinner into one covered with mushrooms. The results are often impressive, maintaining the original image's aesthetic while introducing new elements. However, there are limitations, as the model struggles with incorporating certain objects, like cell phones or computers, into the image as food items. The paragraph highlights the potential of this technology for future image editing, emphasizing its current strengths and areas for improvement.


📈 Accessing Stable Diffusion 3 and Subscription Options

The final paragraph provides information on how to access Stable Diffusion 3 and its image-to-image capabilities. Stability AI offers the models via an API, with a minimum cost for API credits. An alternative is subscribing to Pixel Doo, the speaker's project, which provides access to Stable Diffusion 3 and other models for a monthly fee. The speaker invites viewers to share their experiences with the technology and to attempt creating images with unusual elements, such as 'eating' inanimate objects, which the model currently cannot achieve. The paragraph concludes with a call to action for feedback and a sign-off.



💡Stable Diffusion 3

Stable Diffusion 3 is the latest version of the image generation model developed by Stability AI. It uses advanced text-to-image technology to create images based on textual descriptions. The video discusses its capabilities and highlights the differences between this model and its predecessors.

💡Image to Image

Image to Image is a feature in Stable Diffusion 3 that allows users to start with an existing image and modify it using a text prompt. This method provides more control over the final image compared to starting from scratch with a text prompt alone. The video provides several examples of how this feature can be used to alter images.

💡Text to Image

Text to Image is the traditional method used by Stable Diffusion where an image is generated from a text prompt without any initial image. This method is contrasted with Image to Image in the video, showing the different levels of control and outcomes each method provides.

💡API Endpoint

An API Endpoint is a specific location where an API can be accessed by a program. The video mentions two API endpoints provided by Stability AI for Stable Diffusion 3: one for text-to-image generation and one for image-to-image transformation, allowing developers to integrate these capabilities into their applications.

💡Pixel Doodle

Pixel Doodle is a project created by the video presenter that allows users to experiment with various diffusion models, including Stable Diffusion 3. It offers features such as image upscaling, style transfer, and consistent character generation, providing a practical platform for users to explore image editing technologies.


Conditioning refers to the process of steering or guiding the generation of an image using a text prompt. In the context of Stable Diffusion, conditioning helps shape the noise in the initial image into the desired output. The video explains how both text prompts and source images can be used for conditioning in Image to Image transformations.

💡Inference Steps

Inference Steps are the computational steps taken by the model to generate an image from noise. More inference steps generally lead to higher quality images but take longer to compute. The video mentions that the 'Turbo' version of Stable Diffusion 3 uses fewer inference steps, resulting in faster but lower quality images.

💡Style Transfer

Style Transfer is a technique where the style of one image is applied to another. In the video, Pixel Doodle is highlighted as a platform that supports style transfer, allowing users to modify the appearance of images by applying different artistic styles.


Upscaling refers to increasing the resolution of an image, making it clearer and more detailed. The video mentions this feature as part of Pixel Doodle, which allows users to enhance the quality of their images by upscaling them.

💡Comfy UI

Comfy UI is a user interface mentioned in the video that can be used to interact with the Stable Diffusion API. It allows users to build workflows for generating images, making the process more accessible and user-friendly.


Stable Diffusion 3 introduces two separate models: text-to-image and image-to-image editing.

Image-to-image editing allows for the modification of an existing image using a text prompt.

The process involves using a source image and applying text prompts for desired changes.

Pixel Doo is a platform for experimenting with diffusion models, including image upscaling and enhancement.

Stable Diffusion 3 is capable of generating images with text prompts like 'a tortoise holding bananas'.

The model can attempt to remove elements from an image, such as a tortoise without a shell.

Inference from the original image influences the final output, even with different poses or expressions.

The model can adapt backgrounds and add elements like apples to a character's surroundings.

Text prompts can be used to change a character's action, such as a man holding a sign with 'all your Tech AI'.

The model can interpret prompts to change fundamental elements in an image, like swapping a television for a pumpkin head.

Image-to-image editing can maintain the original aesthetic while introducing entirely new concepts.

Stable Diffusion 3 can generate images with coherent text and adapted elements, like a steak dinner covered with mushrooms.

The model can creatively interpret prompts, such as replacing a steak with a chicken in a dinner setting.

Attempts to include inanimate objects in food settings are met with creative but not literal interpretations.

Stable Diffusion 3 is available via API from Stability AI, with a minimum cost for API credits.

Pixel Doo offers a subscription service for accessing Stable Diffusion 3 and other models for image creation.

The future of image editing may involve steering images using text prompts for creative results.

Stable Diffusion 3 demonstrates the potential for advanced text-to-image and image-to-image generation.