Stable Diffusion 3.5 vs Flux 1: Free Access, Review, Comparison || ULTIMATE SHOWDOWN

Summary

The video reviews the newly released Stable Diffusion 3.5, highlighting its capabilities compared to Flux. With features like improved text generation and a user-friendly interface, it claims to offer better realism than previous models, despite some image deformities. The presenter tests both models using various prompts, ultimately noting that while Stable Diffusion 3.5 shows promise, Flux still outperforms it in several areas. The video concludes with a call for viewers to subscribe for future updates and insights on AI influencers, emphasizing the potential for better results with further training.

Takeaways

• 😀 Stable Diffusion 3.5 was released on October 22, 2024, featuring enhancements over previous versions.
• 😀 The new model includes both Stable Diffusion 3.5 Large and 3.5 Large Turbo, with a medium version expected on October 29.
• 😀 Users can run Stable Diffusion 3.5 on consumer hardware, and it is free for both commercial and non-commercial use under permissive licensing.
• 😀 The model uses approximately 2.5 billion parameters, indicating a step up in complexity compared to earlier iterations.
• 😀 Initial comparisons suggest that while SD 3.5 improves upon past models, it still falls short of Flux in prompt adherence and aesthetics.
• 😀 The presenter tested image generation using various prompts, highlighting that SD 3.5 produced realistic images, albeit with some deformities.
• 😀 Flux images were noted for their polished, almost 3D-rendered quality, demonstrating a different approach to image generation.
• 😀 Both models excelled at generating text, but SD 3.5 had some issues with facial features and body proportions in certain outputs.
• 😀 The presenter emphasizes the potential of SD 3.5 for creating AI influencers, leveraging its realistic appearance for social media content.
• 😀 Future plans include testing different Loras to improve the output quality of SD 3.5, aiming for better realism and consistency in generated images.

Q & A

What are the main features of Stable Diffusion 3.5?

Stable Diffusion 3.5 features approximately 2.5 billion parameters, improvements in image and text generation, and allows users to run it on consumer hardware for free under permissive licensing.

How does Stable Diffusion 3.5 compare to Flux in terms of image generation?

While Stable Diffusion 3.5 shows improved realism compared to earlier versions, Flux generally produces more polished images, although SD 3.5 sometimes adheres better to prompts.

What significant updates were included in the release of Stable Diffusion 3.5?

The updates include an open release with a large and large turbo model, support for commercial use, and expected improvements in text generation capabilities.

What are the limitations when using Stable Diffusion 3.5 on platforms like Hugging Face and Replicate?

Users may encounter limitations such as usage restrictions on certain models and potential fees for accessing specific features, especially on Replicate.

What did the tests reveal about the performance of Stable Diffusion 3.5 regarding realism?

Tests indicated that Stable Diffusion 3.5 generated images that often appear realistic but can include artifacts like deformed hands or faces, especially when prompts are complex.

Can Stable Diffusion 3.5 be used for commercial purposes?

Yes, Stable Diffusion 3.5 can be used for both commercial and non-commercial purposes under a permissive license provided by Stability AI.

How do the image generation times compare between Stable Diffusion 3.5 and Flux?

Flux was noted to generate images faster during the tests, but the difference may vary depending on the platform used.

What role do prompts play in the performance of Stable Diffusion 3.5?

Prompts are crucial for guiding the model's output; better prompts can lead to higher quality images and less deformation in the generated results.

What future plans were mentioned regarding the use of Stable Diffusion 3.5?

The creator plans to explore using Stable Diffusion 3.5 for AI influencers and aims to optimize the model's performance through training additional tools like LoRAs.

What conclusions were drawn about the suitability of Stable Diffusion 3.5 for creating AI influencers?

Stable Diffusion 3.5's capability for generating human-like images positions it well for creating AI influencers, especially with further optimization and training.