Stable Diffusion 3 Stunning new Images - Sora delayed - AI news
TLDRThe video script discusses the advancements in AI, particularly focusing on the impressive images generated by Stable Diffusion 3 and its artistic expressiveness. It also touches on the limitations of the model in terms of control and specificity. The script mentions the Ella project, combining Stable Diffusion with an LLM, and explores the potential of AI in image processing and 3D rendering. The presenter expresses excitement about the future of AI in creating detailed and atmospheric visuals, while also sharing some sad news about the delayed release of the Sora project.
Takeaways
- π¨ The new Stable Diffusion 3 images showcase a blend of realism and artistry, demonstrating significant improvements in expressiveness and color beauty compared to previous models.
- π Emat's cheeky tweet hints that Stable Diffusion 3 might be the last major image model release, as it is good for 99% of cases not requiring further improvements.
- ποΈ Despite high image quality, control over specific details is still lacking in Stable Diffusion models, with randomness affecting the output.
- π€ ELLA (Efficient Large Language Model Adapter) is introduced as a mix of Stable Diffusion and an LLM to address the limitations of text understanding in image creation.
- π OKAY Mobile's project on Reddit combines SXL Lightning Control Net and manual post control, offering an intuitive and interactive image creation process.
- π« The future of Sora remains uncertain, with the development team not providing a release timeline, causing disappointment among those eager to test it.
- πΈ Myth Maker AI's image showcases the potential of using AI-generated images with Photoshop for enhancing expressiveness and atmosphere.
- β±οΈ The combination of AI and manual post-processing can create stunning images in a relatively short time, highlighting the efficiency of AI in the creative process.
- π₯ A project combining 3D software, AI rendering, and post-processing exemplifies the potential future of AI in creating detailed and magical outputs.
- π‘ AI's role in the creative process is becoming more about idea generation, composition, and model training, with AI handling the final steps to produce polished outputs.
- π The live stream showcased the transformation of simple sketches into detailed artwork, demonstrating the potential of AI in asset creation and artistic enhancement.
Q & A
What is the main topic of the video?
-The main topic of the video is the discussion of recent advancements in AI, particularly focusing on the new images from Stable Diffusion 3 and other AI projects.
What is the significance of the Stable Diffusion 3 images showcased in the video?
-The significance of the Stable Diffusion 3 images is that they demonstrate a high level of realism and artfulness, showing improvement in expressiveness and color quality compared to previous models.
What is the 'sad news' mentioned in the video?
-The sad news is that the release of the Sora AI project is not close to being available for public use, despite being in the testing phase.
What does the acronym 'ELLA' stand for, and what is its purpose?
-ELLA stands for 'Efficient Large Language Model Adapter'. Its purpose is to improve the text understanding capabilities of Stable Diffusion by replacing CLIP as the text input, addressing the limitations of the original model.
How does the 'SXL Lightning Control Net' project by Okay Mobile on Reddit work?
-The 'SXL Lightning Control Net' project combines Stable Diffusion with manual post-control to allow users to create images through a web interface, offering an intuitive and interactive process.
What is the role of post-processing in enhancing AI-generated images?
-Post-processing, such as using Photoshop or other image editing tools, can significantly improve AI-generated images by adjusting colors, adding details, and refining the overall composition, thus increasing the expressiveness and quality of the final output.
What is the significance of the combination of 3D software, AI rendering, and post-processing?
-The combination of 3D software, AI rendering, and post-processing represents the future of AI in creating detailed and high-quality visual content, as it allows for the automation of the most time-consuming parts of content creation and enables creators to focus on the conceptual and compositional aspects.
What does the speaker suggest for users to do with their AI-generated images?
-The speaker suggests that users should take their AI-generated images and process them in editing software like Photoshop, especially using tools like Camera Raw and Lightroom, to enhance the images and improve their overall quality.
How long does it take to create the AI-enhanced images shown in the video?
-The process of creating the AI-enhanced images, including the initial AI generation and subsequent manual adjustments, takes about half an hour to an hour.
What is the speaker's overall impression of the future of AI in content creation?
-The speaker is highly optimistic about the future of AI in content creation, believing that the combination of AI with various creative tools will lead to a new era of innovation and high-quality, detailed outputs that are almost magical in their final presentation.
Outlines
π AI Advancements and Stable Diffusion 3
The paragraph discusses the exciting developments in the AI field, particularly focusing on the new images produced by Stable Diffusion 3. The narrator praises the realistic and artistic quality of these images, highlighting the improvements over previous models in terms of expressiveness and color vibrancy. The paragraph also touches on the cheeky tweets by emat, the creator of Stable Diffusion, and mentions the potential of the model to be the last major image model release due to its high quality and applicability to 99% of cases. However, it also notes the current limitations in control and specificity when generating images.
π Ella: The Future of AI and LLM Integration
This paragraph introduces Ella, a new project that combines Stable Diffusion with a large language model (LLM) to improve text understanding in image creation. Ella, short for Efficient Large Language Model Adapter, aims to address the limitations of using CLIP as the text input for Stable Diffusion. Although the model has not been released yet, the narrator expresses hope for its inclusion in automatic 1111 and com UI for users to explore. The paragraph also mentions another interesting project by Okay Mobile on Reddit, which combines SXL Lightning Control Net and manual post control, offering a fun and intuitive process for image creation.
Mindmap
Keywords
π‘Stable Diffusion 3
π‘Emat
π‘Realism
π‘Expressiveness
π‘Control
π‘Ella
π‘SXL Lightning Control Net
π‘Sora
π‘Universal Upscaler
π‘AI Rendering
π‘Live Stream
Highlights
AI is experiencing a surge in advancements, particularly in the realm of image generation with Stable Diffusion 3.
Stable Diffusion 3 images showcased are not only realistic but also exhibit a high degree of artistry, a feature lacking in previous models.
The new images demonstrate a level of expressiveness and color beauty that rivals mid-journey models.
The realism in the images goes beyond visual appeal, giving a sense of warmth and tactile feeling.
Emat's cheeky tweet hints that Stable Diffusion 3 might be the last major image model release due to its high utility for most cases.
Despite high image quality, control over specific details is still a challenge in Stable Diffusion models.
ELLA is introduced as a combination of Stable Diffusion and an efficient large language model adapter to address text input limitations.
OKAY Mobile's project combines Stable Diffusion with lightning control nets and manual post control, offering an intuitive and interactive process.
The future of Sora remains uncertain, with the development team not committing to a public release timeline.
Myth Maker AI's image showcases the potential of AI-generated art, further enhanced with photo adjustments and manual touch-ups in Photoshop.
The universal upscaler and Photoshop were used to refine an AI-generated image, significantly improving its expressiveness and atmosphere.
AI's role in the creative process is to finalize details and effects, allowing creators to focus on ideation and composition.
The combination of 3D software, AI rendering, and post-processing is indicative of the future direction of AI in creative fields.
AI's ability to generate detailed and high-quality outputs is a testament to its potential in various practical applications.
The live stream showcased the transformation of simple sketches into detailed artwork, demonstrating AI's capability in asset creation.
The video encourages viewers to share their thoughts on the showcased AI advancements and expresses a hope for continued engagement.