Stable Diffusion 3 on ComfyUI: Tutorial & My Unexpected Disappointment
TLDRStability AI's latest release, Stable Diffusion 3 Medium, is a multimodal diffusion Transformer model that excels at generating high-quality images from text descriptions. Available in three variants, it's efficient and resource-friendly, but comes with a non-commercial license. Despite its advanced capabilities, the model has limitations and may not meet all expectations, as the video creator expresses disappointment and chooses to stick with previous versions 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 in image quality, typography understanding, and handling complex prompts, while being more resource-efficient.
- 📝 Stable Diffusion 3 Medium 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 in generative models, but not for representing real people or events.
- 📦 There are three variants of the Stable Diffusion 3 Medium model, each catering to different user needs and resource availability.
- 🌐 The model relies on three pre-trained text encoders: CLIP ViT-g, CLIP ViT-l, and T5 XXL, to convert text prompts into image representations.
- 📚 The text encoders work together to enhance the model's ability to interpret and generate high-quality images from text descriptions.
- 💻 To use the model, download the necessary models and place them in Comfy UI's models directory, then update Comfy UI to the latest version.
- 🛠️ The tutorial demonstrates loading the model and generating an image using a workflow in Comfy UI, which includes a sampler and text encoders.
- 🕒 The generation process on an RTX 3060 with 12 GB VRAM takes about 30 seconds, suggesting a minimum requirement of 8 GB VRAM.
- 😔 Despite high expectations, the current SDXL models may look better, and the non-commercial license could limit the model's fine-tuning by the community.
- 📹 The creator plans to continue using SD 1.5 and SDXL for upcoming videos and a digital AI model course, indicating some disappointment with Stable Diffusion 3's performance or licensing.
Q & A
What is the main topic of the video?
-The main topic of the video is the introduction and tutorial on how to use Stability AI's Stable Diffusion 3 medium model on ComfyUI, along with the creator's unexpected disappointment with the model.
What is the Stable Diffusion 3 medium model?
-The Stable Diffusion 3 medium model is Stability AI's most advanced image generation model, which is a multimodal diffusion Transformer (MMD) capable of turning text descriptions into high-quality images.
What does the term 'multimodal diffusion Transformer' imply about the model's capabilities?
-The term 'multimodal diffusion Transformer' implies that the model is highly proficient in generating high-quality images from text descriptions, suggesting it has improved performance in image quality, typography understanding, and handling complex prompts.
Under what license is the Stable Diffusion 3 medium released?
-The Stable Diffusion 3 medium is released under the Stability non-commercial research Community license, which means it is free for non-commercial purposes such as academic research.
What are the limitations of using the Stable Diffusion 3 medium model commercially?
-For commercial use, a separate license from Stability AI is required, as the non-commercial research Community license does not permit commercial applications.
What are the three different packaging variants of the Stable Diffusion 3 medium model?
-The three variants are: 1) sd3 medium.safe tensors, which includes the core MMD and VAE weights without text encoders; 2) sd3 medium.incl Clips T5 XL fp8 do safe tensors, which contains all necessary weights with an 8-bit version of the T5 XXL text encoder; 3) sd3 medium.incl clips safe tensors, which includes all necessary weights except for the T5 XXL text encoder.
What are the three fixed pre-trained text encoders utilized by the Stable Diffusion 3 medium model?
-The three fixed pre-trained text encoders are CLIP ViT-g, CLIP ViT-l, and T5 XXL, which work together to convert text prompts into meaningful representations for image generation.
What is the purpose of the 'triple clip loader' in the workflow?
-The 'triple clip loader' is used to load the CLIP G and CLIP L models, allowing the user to choose between different text encoders such as T5 XXL fp8 and fp16, which are essential for the model to interpret and translate text descriptions into images.
What is the minimum requirement for the GPU to generate images using the Stable Diffusion 3 medium model?
-The minimum requirement for the GPU to generate images using the Stable Diffusion 3 medium model is 8 GB of VRAM.
Why does the creator express disappointment with the Stable Diffusion 3 medium model?
-The creator expresses disappointment due to the non-commercial license preventing many fine-tuners from working on it, and the fact that the current sdxl models look much better, leading the creator to stick with SD 1.5 and sdxl for now.
What is the creator's recommendation for those interested in learning more about generative models?
-The creator recommends checking out their upcoming digital AI model course and watching more videos on the topic, as indicated by the link in the description box.
Outlines
🚀 Introduction to Stable Diffusion 3 Medium by Stability AI
The script introduces Stability AI's latest image generation model, Stable Diffusion 3 Medium, which is a multimodal diffusion Transformer (MMD) capable of generating high-quality images from text descriptions. It discusses the model's advanced features, such as improved image quality, typography understanding, and efficiency. The model is released under a non-commercial research community license, making it free for academic use but requiring a commercial license for other purposes. The script also outlines the model's potential applications in creating artworks, design projects, educational tools, and research.
🔍 Exploring the Variants and Requirements of Stable Diffusion 3 Medium
This paragraph delves into the three different weight models of Stable Diffusion 3 Medium, each catering to different user needs. The first variant, 'sd3 medium safe tensors,' includes the core MMD and VAE weights but lacks text encoders, ideal for users with separate text encoding solutions. The second variant, 'sd3 medium incl Clips T5 XL fp8 do safe tensors,' offers a balance of quality and efficiency with the inclusion of an 8-bit T5 XXL text encoder. The third variant, 'sd3 medium incl clips safe tensors,' is designed for minimal resource usage, omitting the T5 XXL text encoder for performance trade-offs. The paragraph also explains the process of integrating these models into Comfy UI and the necessity of updating the software to utilize the new models effectively.
🎨 Hands-on Experience with Stable Diffusion 3 Medium and Its Limitations
The script shares the hands-on experience of using Stable Diffusion 3 Medium, noting the generation time and the minimum VRAM requirement for顺畅运行. It highlights the comparison with existing models like SD 1.5 and SDXL, indicating that while SD3 performs well, it may not meet the high expectations set by its predecessors. The non-commercial license is also mentioned as a potential barrier for fine-tuners. The author expresses a preference for sticking with older models for now and mentions an upcoming digital AI model course for further exploration.
Mindmap
Keywords
💡Stable Diffusion 3
💡ComfyUI
💡Non-commercial Research License
💡Multimodal Diffusion Transformer (MMD)
💡Text Encoders
💡CLIP ViT-g
💡CLIP ViT-l
💡T5 XXL
💡Checkpoints
💡Sampler
💡VRAM
Highlights
Stability AI has released their Stable Diffusion 3 Medium weights.
This model is known as a Multimodal Diffusion Transformer (MMD), excelling at converting text descriptions into high-quality images.
Stable Diffusion 3 Medium offers significantly improved performance in image quality, typography, and understanding complex prompts.
The model is more efficient with resources compared to previous versions.
Stable Diffusion 3 Medium is released under a non-commercial research community license, free for academic research but requiring a separate license for commercial use.
Users can create artworks, design projects, educational tools, and research generative models with this model.
There are three packaging variants of the model: SD3 Medium Safe Tensors, SD3 Medium incl Clips T5 XL FP8, and SD3 Medium incl Clips Safe Tensors.
The SD3 Medium Safe Tensors variant does not come with any text encoders, ideal for users integrating their own text encoders.
The SD3 Medium incl Clips T5 XL FP8 variant includes the T5 XXL text encoder, balancing quality and resource efficiency.
The SD3 Medium incl Clips Safe Tensors variant is designed for minimal resource usage, sacrificing some performance quality.
Stable Diffusion 3 Medium utilizes three fixed pre-trained text encoders: CLIP VITG, CLIP VITL, and T5 XXL.
These text encoders convert text prompts into meaningful representations for generating images.
To use these models, they should be placed in the ComfyUI directory, inside the models folder.
After downloading the models, update ComfyUI to the latest version using the manager or running the update batch file.
Stable Diffusion 3 Medium requires a minimum of 8 GB of VRAM, with an RTX 3060 taking about 30 seconds to generate an image.
Many users had high expectations for SD3, but current SDXL models still look better.
The non-commercial license may prevent many fine-tuners from working on SD3.
The tutorial demonstrates loading example workflows and generating images using ComfyUI.
The video mentions the upcoming digital AI model course, with more information available in the description.