【IP-Adaptorよりすごい!】FooocusでSDXLのイメージプロンプトを使う方法

AI is in wonderland
31 Oct 202319:30

TLDRIn this video, Alice and Yuki explore the latest updates of Fooocus, focusing on its Image Prompt feature and comparing it with Control Net's Canny and Depth. They demonstrate how Fooocus maintains image quality, unlike the IP-Adaptor in stable diffusion webui, which tends to degrade image quality and ignore text prompts. Through various examples, they showcase how to use the Image Prompt to blend images and adjust the influence of prompts with weights and control steps. They also experiment with different modes like Pyramid Canny and CPDS, and discuss the impact of language understanding in AI models. The video concludes with a comparison of image quality between SD1.5, SDXL, and DALL-E3, highlighting the superior performance of Fooocus and the importance of considering SDXL for future projects.

Takeaways

  • 🎯 Fooocus is an evolving AI tool that allows for the use of image prompts and features similar to Control Net's Canny and Depth.
  • 🔍 The IP-Adaptor in the stable diffusion webui control net can sometimes ignore text prompts and degrade image quality, while Fooocus's Image prompt maintains image quality.
  • 📈 Fooocus's Image prompt allows for the fusion of elements from two images and adjusting their intensity, offering more control over the final image.
  • 👻 An advanced feature in Fooocus lets users adjust the influence of the Image Prompt through 'Weight' and 'Stop At' settings, similar to control weight and ending control step in a control net.
  • 🧛‍♀️ Combining a single image with a text prompt in Fooocus can heavily influence the generated image, even when the Image Prompt's weight is set to 1.
  • 🧙‍♂️ Fooocus's Image Prompt can be used to create an instant LoRA-like effect by inputting multiple images, although it may require fine-tuning to achieve the desired result.
  • 🎃 The Pyramid Canny mode in Fooocus captures outlines well at multiple resolutions, providing a softer blend compared to normal Canny.
  • 🖤 CPDS (Contrast, Preserving Decolorization Structure) is a feature that removes color while maintaining the image's contrast and depth perception, offering a unique visual effect.
  • 🧩 All three Image Prompt modes in Fooocus can be used simultaneously to generate an image that closely adheres to the original composition.
  • 📚 Fooocus has a History Log that lists the prompts automatically added by the system, which can be useful for understanding how the tool enhances image generation.
  • ⚙️ Fooocus offers additional settings such as adjusting the Refiner switch timing, which can be found in the Advanced tab, providing users with more control over the image generation process.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is the introduction of the Fooocus update and its Image Prompt feature, which is similar to Control Net's Canny and Depth.

  • How does Fooocus's Image prompt differ from the stable diffusion's IP-Adapter?

    -Fooocus's Image prompt is characterized by not reducing the quality of the image, whereas stable diffusion's IP-Adapter tends to ignore text prompts and the image quality deteriorates when many images are used.

  • What is the purpose of the control weight in the multi-control net?

    -The control weight in the multi-control net is used to determine the influence of each control unit on the generated image.

  • How can the influence of an Image Prompt be adjusted in Fooocus?

    -The influence of an Image Prompt in Fooocus can be adjusted by setting the 'Weight' and 'Stop At' values, which respectively control the intensity of the prompt and the point in the image generation step where the effect should be stopped.

  • What is the difference between Pyramid Canny and CPDS in Fooocus's Image Prompt?

    -Pyramid Canny captures the contours well by performing Canny at multiple resolutions and blending the elements softly, while CPDS (contrast, preserving decolorization structure) removes color to make the image black and white while maintaining the contrast and the sense of perspective.

  • How does Fooocus's Image Prompt mode with multiple images work?

    -Fooocus's Image Prompt mode allows for the combination of multiple images by placing the same image in different places in the image storage and selecting different modes for each, which can generate an image with a composition that closely resembles the original image.

  • What is the significance of the LoRA feature in Fooocus?

    -LoRA (Low-Rank Adaptation) is a feature in Fooocus that allows for the creation of a character-specific model that can be used to influence the generated images, enhancing the reproducibility of certain characteristics.

  • Why does the video mention the importance of adjusting the Refiner switch timing in Fooocus?

    -Adjusting the Refiner switch timing in Fooocus can help improve the quality of the generated images by controlling at what point in the image generation process the refinement steps are applied.

  • What is the reason behind the preference for using SDXL over SD1.5 in the video?

    -The preference for SDXL over SD1.5 is due to the significant difference in language understanding of prompts, with SDXL showing better comprehension and generating more accurate results based on the given text prompts.

  • How does the video demonstrate the effectiveness of Fooocus compared to stable diffusion webui?

    -The video demonstrates the effectiveness of Fooocus by comparing the generated images from both platforms using the same prompt. Fooocus consistently generates images that more accurately reflect the number of people and gender specified in the prompt.

  • What is the role of the History Log in Fooocus settings?

    -The History Log in Fooocus settings allows users to review the prompts that were automatically added during the image generation process, as well as to check the seed value for each generation.

Outlines

00:00

🎨 Fooocus Image Prompt and Comparison with Stable Diffusion

Alice from AI's Wonderland introduces the Fooocus update, focusing on the Image prompt feature and comparing it to ControlNet's Canny and Depth. She discusses the evolving nature of Fooocus and its difference from the stable diffusion webui's IP-Adaptor, which tends to ignore text prompts and degrade image quality with multiple images. Alice demonstrates the Image prompt's ability to maintain image quality and its adjustable influence through weight settings. She also explores the difficulty of mixing two images using a multi-control net and shows how Fooocus's Image prompt can fuse elements from two images while adjusting intensity.

05:01

🔄 Adjusting Image Fusion and Exploring Stop At Settings

The video continues with an exploration of how to adjust the fusion of elements from two images using Fooocus's Image prompt. Alice discusses the 'Stop At' setting and its impact on the image generation process, noting that it doesn't seem to have much influence and that the weight adjustment is more critical. She combines a single image with a text prompt to show how the text prompt can heavily influence the generated image. Alice also tests the effect of Stop At in combination with text prompts and concludes that weight is the primary adjustment factor. She successfully generates an image that combines a maid costume with a Halloween pumpkin by fine-tuning the weight.

10:06

🤖 Experimenting with LoRA and Fooocus's Image Prompt Modes

Alice attempts to replicate LoRA's instant effect using Fooocus's IP-Adapter with four images of Mr. Freelen. She notes that while the overall atmosphere is captured, the character doesn't fully resemble Mr. Freelen. Adding text prompts to describe Freelen's characteristics improves the result. She then tests the effectiveness of LoRA alone and in combination with Image Prompt, noting that the reproducibility of Freelen improves with Image Prompt. Alice also experiments with adding a Halloween pumpkin to generate a themed Freelen image. She briefly introduces other Image Prompt modes like Pyramid Canny and CPDS, which capture outlines and maintain contrast while converting images to black and white.

15:07

📈 Comparing AI Models and Discussing Fooocus's Advantages

Alice compares different AI models, including SD1.5, SDXL, Fooocus, and DALL-E3, using a prompt about two girls and one boy taking a picture. She observes that Fooocus and DALL-E3 better understand and adhere to the prompt's specifications. She attributes the superior performance of Fooocus to its hidden tricks and efforts detailed on its homepage. Alice also discusses the importance of resolution, noting that upscaling SD1.5 images reveals a coarseness compared to the finer pixels of SDXL and DALL-E3. She concludes by advocating for a focus on SDXL and encouraging viewers to explore Fooocus's capabilities.

Mindmap

Keywords

💡Fooocus

Fooocus is an AI image generation tool that is constantly evolving and improving. It is used to create images based on various prompts, including text and other images. In the video, Fooocus is compared with other tools, showcasing its ability to maintain image quality and diversity in generated images. It is also used to demonstrate advanced features like Image Prompt and the integration with LoRA.

💡Image Prompt

An Image Prompt is a feature in AI image generation tools that allows users to input an existing image to influence the output of the generated image. In the video, the Image Prompt feature in Fooocus is explored, showing how it can be used to combine elements from different images and adjust the intensity of their influence.

💡Control Net

Control Net is a feature in some AI image generation tools that allows for more nuanced control over the generated image by setting specific parameters or 'controls'. In the context of the video, it is mentioned in comparison with Fooocus's Image Prompt, highlighting differences in how they handle image and text prompts.

💡IP-Adaptor

The IP-Adaptor is a component within the stable diffusion webui control net that allows for the use of an image as a prompt. The video discusses the limitations of the IP-Adaptor, such as a tendency to ignore text prompts and a decrease in image quality when many images are used.

💡LoRA

LoRA (Low-Rank Adaptation) is a technique used to adapt and specialize AI models for specific tasks or styles. In the video, LoRA is used to create a personalized version of the AI model that generates images with a particular style, such as a 'Halloween costume' or 'maid costume'.

💡Text Prompt

A Text Prompt is a description or a set of instructions given in text form that an AI image generation tool uses to create an image. The video compares the influence of text prompts with image prompts and discusses how Fooocus handles text prompts effectively.

💡Weight

In the context of AI image generation, Weight refers to the strength or intensity of an influence on the generated image, such as the influence of an Image Prompt or a text prompt. The video demonstrates how adjusting the weight can control the prominence of different elements in the final image.

💡Stop At

Stop At is a parameter in AI image generation that determines at what point in the image generation process the effect of a prompt, such as an Image Prompt, should cease to influence the image. The video explores how changing the Stop At value can affect the outcome of the generated image.

💡Pyramid Canny

Pyramid Canny is an Image Prompt mode in Fooocus that captures the outline of an image at multiple resolutions and blends them for a detailed effect. It is used in the video to generate images with well-defined contours, especially useful for high-resolution images.

💡CPDS

CPDS stands for Contrast Preserving Decolorization Structure, an Image Prompt mode that removes color from an image while maintaining its contrast and depth structure. In the video, CPDS is used to generate images that retain the general outline and context of the original image.

💡SDXL

SDXL refers to a version of the Stable Diffusion model that operates at a higher resolution (1024x1024). The video discusses the advantages of using SDXL over SD1.5, particularly in terms of language understanding and image quality.

Highlights

Alice from AI’s, in Wonderland introduces an update to Fooocus, focusing on its Image prompt feature and comparison with Control Net's Canny and Depth.

Fooocus is noted for its continuous evolution and updates that occur alongside video creation.

The stable diffusion webui's IP-Adaptor is mentioned to often ignore text prompts and degrade image quality with multiple images, reducing diversity.

Fooocus's Image prompt is highlighted for maintaining image quality without degradation.

A demonstration of using IP-Adaptor with stable diffusion webui shows the influence of control unit images on the generated output.

Fooocus allows for img to img influence, which differs from mixing two images in a multi-control net.

Creating an image with a Halloween costume prompt using a single control net unit demonstrates the strong influence of the image prompt.

Adjusting the influence of the Image Prompt in Fooocus is possible through advanced settings like Weight and Stop At.

Combining a single image with a text prompt in Fooocus results in a heavily influenced output, showcasing the power of text prompts.

An attempt to replicate LoRA using four images with IP-Adapter in Fooocus is discussed, highlighting the limitations and potential.

LoRA's effectiveness is demonstrated when used in conjunction with Image Prompt, enhancing the reproducibility of certain character traits.

The addition of a Halloween pumpkin to the Image Prompt and text prompt results in creative and themed outputs.

Pyramid Canny, a mode in Fooocus, is introduced for capturing outlines at multiple resolutions for high-resolution images.

CPDS, or contrast preserving decolorization structure, is explained as a method for maintaining contrast in black and white images with depth perception.

Combining all three Image Prompt modes in Fooocus can produce images faithful to the original composition.

Updates to Fooocus include an adjustable Refiner switch timing in the Advanced tab for more control over the generation process.

A comparison of prompt understanding between different AI models, including SD1.5, SDXL, Fooocus, and DALL-E3, shows Fooocus's superior performance.

The importance of resolution in image quality is discussed, with SDXL and DALL-E3 outperforming SD1.5 in pixel fineness.

The video concludes with a call to action for viewers to subscribe and like the channel for more content.