Stable Diffusion 3 on ComfyUI: Tutorial & My Unexpected Disappointment

Aiconomist
12 Jun 202406:17

TLDRIn this video, the host introduces Stable Diffusion 3 Medium by Stability AI, an advanced image generation model with improved performance in image quality and resource efficiency. However, the model's non-commercial license and the need for a high VRAM may disappoint some users. The tutorial covers how to use it on ComfyUI, with three variants of the model to suit different needs. Despite the hype, the host expresses disappointment due to the limitations and recommends sticking with older models for now.

Takeaways

  • 🚀 Stability AI has released Stable Diffusion 3, an advanced image generation model known as a Multimodal Diffusion Transformer (MMD).
  • 🔍 The model is designed to excel at converting text descriptions into high-quality images with improved performance in image quality, typography, and complex prompts.
  • 📜 Stable Diffusion 3 Medium is released under a non-commercial research Community license, making it free for non-commercial uses but requiring a commercial license for business applications.
  • 🎨 Users can create artworks, design projects, educational tools, and research generative models with this model, but it's not intended for generating real representations of people or events.
  • 📦 The model comes in three variants to cater to different user needs: one with core weights but no text encoders, one with a balance of quality and efficiency, and one for minimal resource usage with some performance trade-off.
  • 📚 The model utilizes three pre-trained text encoders: CLIP ViT-g, CLIP ViT-l, and T5 XXL, to accurately interpret and translate text descriptions into images.
  • 📁 To use the model, place the downloaded checkpoints in the Comfy UI directory, inside the models folder, alongside SD 1.5 and SdxL models.
  • 🛠️ Update Comfy UI to the latest version to ensure compatibility with the new model.
  • 🔄 The workflow involves loading the model, selecting a text encoder, writing prompts, setting image dimensions, and using a sampler for image generation.
  • 🖼️ The video demonstrates generating an image with the default prompt, which took about 30 seconds on an RTX 3060 with 12 GB of VRAM, indicating a minimum requirement of 8 GB of VRAM.
  • 😔 Despite the hype, the creator expresses disappointment due to the non-commercial license limiting fine-tuning and the model's performance not meeting high expectations set by the community.

Q & A

  • What is Stable Diffusion 3 Medium and what does it specialize in?

    -Stable Diffusion 3 Medium is Stability AI's most advanced image generation model, specializing in turning text descriptions into high-quality images using a multimodal diffusion Transformer (MMD).

  • What improvements does Stable Diffusion 3 Medium claim to have over its predecessors?

    -Stable Diffusion 3 Medium claims to have significantly improved performance in image quality, typography understanding, handling complex prompts, and is more efficient with resources.

  • Under what license is Stable Diffusion 3 Medium released and what are the restrictions?

    -It is released under the Stability Non-Commercial Research Community License, which means it's free for non-commercial purposes like academic research, but commercial use requires a separate license from Stability AI.

  • What are the different variants of the Stable Diffusion 3 Medium model and their intended uses?

    -There are three variants: 'sd3 medium. safe tensors' for users who want to integrate their own text encoders; 'sd3 medium incl Clips T5 XL fp8 do safe tensors' for a balance between quality and resource efficiency; and 'sd3 medium incl clips safe tensors' for minimal resource usage with some sacrifice in performance quality.

  • What are the three fixed pre-trained text encoders utilized by the Stable Diffusion 3 Medium model?

    -The three encoders are CLIP ViT-g for basic image-text pairing, CLIP ViT-l for large-scale vision tasks, and T5 XXL for processing and understanding complex text prompts.

  • Where should the checkpoint models of Stable Diffusion 3 Medium be placed in Comfy UI?

    -They should be placed in the 'models' folder inside the 'checkpoints' folder in Comfy UI's directory.

  • What steps are involved in setting up Stable Diffusion 3 Medium in Comfy UI?

    -After placing the models in the correct directory, update Comfy UI to the latest version, load the example workflows, and then load the necessary JSON files to configure the workflow.

  • What is the minimum VRAM requirement for generating images with Stable Diffusion 3 Medium?

    -The minimum requirement is 8 GB of VRAM, as demonstrated by the RTX 3060 with 12 GB of VRAM taking about 30 seconds to generate an image.

  • Why might some users be disappointed with Stable Diffusion 3 Medium despite the hype?

    -Some users might be disappointed due to the non-commercial license restricting fine-tuners, and the expectation that the current sdxl models look much better, leading the author to stick with SD 1.5 and sdxl for now.

  • What is the author's current preference for image generation models and why?

    -The author prefers SD 1.5 and sdxl for now due to the non-commercial license of SD3 and the author's belief that the current sdxl models provide better image quality.

  • Where can viewers find more information about the author's upcoming digital AI model course?

    -Viewers can find more information in the description box where a link is provided.

Outlines

00:00

🚀 Introduction to Stability AI's Stable Diffusion 3 Medium

The video introduces Stability AI's latest image generation model, Stable Diffusion 3 Medium, which is a multimodal diffusion Transformer (MMD). This model excels at converting text descriptions into high-quality images and claims to have improved performance in image quality, typography understanding, and handling complex prompts. It is released under a non-commercial research community license, meaning it's free for academic use but requires a commercial license for business use. The model can be used for creating artworks, design projects, educational tools, and research but is not intended for generating representations of real people or events. The video also mentions three different weight models to cater to various user needs, from flexibility with text encoders to minimal resource usage.

05:03

🔍 First Look at Stable Diffusion 3 Medium's Performance and Limitations

The video script proceeds to demonstrate the performance of Stable Diffusion 3 Medium by generating an image using a default prompt. The process takes about 30 seconds on an RTX 3060 with 12 GB of VRAM, indicating a minimum requirement of 8 GB of VRAM for顺畅 operation. The video creator expresses that while the images generated by SD3 are better than previous models, the non-commercial license may hinder fine-tuners from working on it. As a result, the creator plans to continue using SD 1.5 and SDXL models for upcoming videos and a digital AI model course, which is linked in the description for further information.

Mindmap

Keywords

💡Stable Diffusion 3

Stable Diffusion 3 refers to the latest image generation model released by Stability AI. It is an advancement in the field of AI, designed to convert text descriptions into high-quality images. The model is called a multimodal diffusion Transformer (MMD), which signifies its enhanced capabilities in generating images from textual prompts. In the video, the creator discusses the features and potential disappointments associated with this model, highlighting its significance in the context of AI advancements.

💡ComfyUI

ComfyUI is the user interface that the video's tutorial is based on. It is a platform where users can utilize the Stable Diffusion 3 model for image generation. The script provides a step-by-step guide on how to correctly use Stable Diffusion 3 within ComfyUI, emphasizing its importance in the process of generating images with the new model.

💡Non-commercial Research Community License

This license type is mentioned in the context of Stable Diffusion 3's release terms. It specifies that the model can be freely used for non-commercial purposes such as academic research. However, for commercial use, a separate license from Stability AI is required. The video script discusses this licensing aspect to clarify the model's usage limitations and conditions.

💡Multimodal Diffusion Transformer (MMD)

The term MMD is used to describe the underlying technology of Stable Diffusion 3. It is a sophisticated AI model that excels at interpreting and generating images from text descriptions. The script highlights the model's improved performance in image quality, typography understanding, and handling complex prompts, showcasing the capabilities of MMD in the realm of AI image generation.

💡Text Encoders

Text encoders are components of the Stable Diffusion 3 model that convert text prompts into a format the model can use to generate images. The script mentions three fixed pre-trained text encoders: CLIP ViT-g, CLIP ViT-l, and T5 XXL. These encoders are crucial for the model's ability to understand and create images based on textual input, as demonstrated in the video's workflow explanation.

💡CLIP ViT-g

CLIP ViT-g is one of the text encoders used in Stable Diffusion 3. It is a version of CLIP (Contrastive Language Image Pre-training) that pairs images with their corresponding text descriptions. In the video, it is mentioned as part of the model's text encoders, playing a role in the model's ability to interpret text and generate images effectively.

💡CLIP ViT-l

CLIP ViT-l is another variant of the CLIP model, optimized for large-scale vision tasks. It is designed to enhance the model's capacity to handle more complex and detailed image generation tasks. The script refers to it as one of the text encoders that work in conjunction with others to ensure high-quality image generation from text descriptions.

💡T5 XXL

T5 XXL is a large-scale text-to-text transfer Transformer model that is part of the Stable Diffusion 3's text encoders. It processes and understands complex and nuanced text prompts, contributing significantly to the accuracy and quality of the generated images. The video script discusses its role in the model's performance and the different versions (fp8 and fp16) available.

💡Sampler

In the context of the video, a sampler refers to a node in the ComfyUI workflow that is used to generate images with Stable Diffusion 3. The script describes the use of a sampler with 28 steps and a 4.5 CFG, utilizing the DPM++ 2M algorithm. This component is essential for the image generation process, as it translates the text prompts into visual outputs.

💡DPM++ 2M

DPM++ 2M is the algorithm used in the sampler node for image generation with Stable Diffusion 3. It is a method that helps in creating images from text prompts in a more efficient and effective manner. The video script mentions this algorithm as part of the workflow for generating images using the Stable Diffusion 3 model in ComfyUI.

💡VRAM

VRAM, or Video Random Access Memory, is a type of memory used by graphics processing units (GPUs) for storing image data. In the video, the creator mentions that an RTX 3060 with 12 GB of VRAM was used to generate images with Stable Diffusion 3, indicating the minimum requirement for顺畅的图像生成. The script uses VRAM as an example to discuss the hardware requirements for using the model.

Highlights

Stable Diffusion 3 Medium is released by Stability AI, representing their most advanced image generation model to date.

The model is a multimodal diffusion Transformer (MMD), excelling at converting text descriptions into high-quality images.

Stable Diffusion 3 Medium claims significant improvements in image quality, typography understanding, and handling complex prompts.

It is more efficient with resources compared to previous models.

The model is released under the Stability Non-Commercial Research Community License, free for non-commercial use.

Commercial use requires a separate license from Stability AI.

The model can be used for creating artworks, design projects, educational tools, and research.

It is not intended for creating representations of real people or events.

Three different weight models are available to cater to diverse user needs.

The first variant, SD3 Medium Safe Tensors, includes the core MMD and VAE weights without text encoders.

The second variant, SD3 Medium incl Clips T5 XL fp8 do Safe Tensors, balances quality and resource efficiency.

The third variant, SD3 Medium incl Clips Safe Tensors, is designed for minimal resource usage with some performance trade-offs.

The models should be placed in the Comfy UI directory inside the models folder.

Three fixed pre-trained text encoders are utilized: CLIP ViT-g, CLIP ViT-l, and T5 XXL.

The text encoders work together to ensure accurate interpretation and translation of text descriptions into images.

Comfy UI should be updated to the latest version to work with the new models.

The presenter experienced disappointment with the model, despite the hype, due to certain limitations and expectations.

The presenter will continue using SD 1.5 and SDXL for upcoming projects and courses.