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Stable Diffusion 3.5 sigue sus indicaciones más de cerca y genera personas más diversas

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Stable Diffusion, una alternativa de código abierto a los generadores de imágenes impulsados ​​por IA como En pleno vuelo y DALL-Eha sido actualizado a Versión 3.5. El nuevo modelo intenta corregir algunos de los errores (que pueden estar subestimados) en Stable Diffusion 3 Medium. Stability AI dice que el Modelo 3.5 cumple con las afirmaciones mejor que otros generadores de imágenes y compite con modelos mucho más grandes en calidad de salida. Además, se ha ajustado para ofrecer una mayor variedad de estilos, tonos de piel y características sin que tengas que solicitarlo explícitamente.

El nuevo modelo viene en tres sabores. El Stable Diffusion 3.5 Large es el más potente de los tres, con la más alta calidad del grupo, y al mismo tiempo lidera la industria en adherencia instantánea. La estabilización de IA dice que el modelo es adecuado para usos profesionales a 1MP.

Mientras tanto, el Stable Diffusion 3.5 Large Turbo es una versión “destilada” del modelo más grande, con un enfoque más en la eficiencia que en la máxima calidad. Stability AI dice que la variante Turbo aún produce “imágenes de alta calidad con una participación excepcionalmente rápida” en cuatro pasos.

Finalmente, Stable Diffusion 3.5 Medium (2,5 mil millones de parámetros) está diseñado para funcionar en dispositivos de consumo, equilibrando calidad y simplicidad. Con gran facilidad de personalización, el modelo puede crear imágenes con una resolución de entre 0,25 y 2 megapíxeles. Sin embargo, a diferencia de los dos primeros modelos disponibles ahora, Stable Diffusion 3.5 Medium no llegará hasta el 29 de octubre.

Un nuevo trío sucede al fallido Distribución estable 3 mediana En junio. La compañía admitió que el lanzamiento “no cumplió plenamente con nuestros estándares ni con las expectativas de nuestras comunidades”, algunas de las cuales fueron producidas. El horror corporal es ridículamente grotesco. En respuesta a las reclamaciones usted no pidió nada por el estilo. Estabilidad Las repetidas referencias de Amnistía Internacional al compromiso inmediato extraordinario en el anuncio de hoy probablemente no sean una coincidencia.

Aunque Stability AI solo lo mencionó brevemente en la publicación de su blog de anuncio, la Serie 3.5 tiene nuevos filtros para reflejar mejor la diversidad humana. La compañía describe la producción humana de los nuevos modelos como “representar el mundo, no solo un tipo de persona, con diferentes tonos de piel y características, sin la necesidad de indicaciones intensas”.

Esperemos que sea lo suficientemente sofisticado como para tener en cuenta matices y sensibilidades históricas, a diferencia de la debacle de Google que ocurrió a principios de este año. Sin que se lo pidieran, Gemini produjo colecciones de “fotografías” históricas extremadamente inexactas, por ejemplo Nazis racialmente diversos y padres fundadores de los Estados Unidos. La reacción fue tan severa que Google no resurgió durante generaciones humanas. Incluso después de seis meses.

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Stable Diffusion 3 Medium con la capacidad de trabajar de manera eficiente en computadoras portátiles de consumo lanzadas por Stability AI

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El miércoles, Stability AI lanzó una versión más pequeña. Propagación estable 3 (SD3) Modelo de Inteligencia Artificial (IA). Apodado Stable Diffusion 3 Medium, la compañía introdujo un modelo más pequeño de texto a imagen como su modelo de generación de imágenes más avanzado. Si bien conserva toda la funcionalidad del modelo de IA más grande, la última herramienta tiene menores requisitos de GPU y consume menos energía en comparación con los modelos anteriores. Los pesos abiertos también están disponibles en Hugging Face, y la compañía dice que este modelo de IA puede funcionar de manera eficiente en PC y portátiles de consumo.

Estabilidad AI ofrece un spread promedio estable de 3

Si bien el modelo Stable Diffusion 3 (ahora llamado Stable Diffusion 3 Large) estuvo disponible para el público en abril, sus altos requisitos de GPU y computación dificultaron que la mayoría de las personas con una PC o computadora portátil de consumo trabajaran de manera eficiente. La empresa resuelve este problema presentando Stable Diffusion 3 Medium, que puede ejecutarse en la mayoría de las computadoras portátiles y de escritorio.

de acuerdo a un informe Según VentureBeat, el requisito mínimo para el modelo AI es 5 GB de GPU VRAM y el requisito recomendado es 16 GB de GPU VRAM. Vale la pena mencionar que NVIDIA La GeForce RTX 3090 cuenta con 24 GB de VRAM GDDR6X.

A pesar del tamaño más pequeño de dos mil millones de parámetros (frente a ocho mil millones de parámetros en SD3 Large), dijo Stability AI en la sala de redacción. correo Que el Stable Diffusion 3 Medium podrá demostrar un nivel de eficiencia similar al de su contraparte más grande. El último modelo de generación de imágenes ofrecerá resultados fotorrealistas detallados, así como resultados de alta calidad en estilos flexibles. Para mejorar el realismo de manos y rostros, la empresa de IA utiliza un VAE (codificador automático variable) de 16 canales.

El compromiso inmediato también estará al mismo nivel que el modelo más grande. SD3 Medium puede comprender indicaciones complejas que involucran razonamiento espacial, elementos de composición, procedimientos y patrones. Además, la compañía agregó que la tipografía, que era un error común en los modelos de generación de imágenes, también se mejoró en el último modelo de IA.

Stable Diffusion 3 Medium se pone a disposición del público a través de la interfaz de programación de aplicaciones (API) impulsada por IA de la empresa. También se puede acceder al modelo de IA de texto a imagen a través de la plataforma Stable Assistant o el servidor Stable Artisan Discord. También se fabricaron más pesos abiertos. disponible Bajo una licencia no comercial de Hugging Face. Para utilizarlo con fines comerciales, los usuarios deberán obtener una licencia de creador de la empresa.

Los enlaces de afiliados pueden generarse automáticamente; consulte nuestro sitio web Declaración de ética Para detalles.

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Stable Diffusion 3 vs Midjourney 6 vs DallE 3 AI artists compared

Stable Diffusion 3 vs Midjourney 6 vs DallE 3 AI art generator prompt comparison

Following on from the recent unveiling of Stable Diffusion three by the development team at  Stability AI Samson at Delightful Design has put together an interesting comparison comparing the prompt results of Stable Diffusion 3 vs Midjourney 6 vs DallE 3. In the rapidly evolving world of digital art, artificial intelligence (AI) is playing an increasingly significant role. AI art generators like Stable Diffusion 3, Midjourney 6, and DallE 3 are reshaping how we think about and create visual content. Stable Diffusion 3 in currently in early preview, and is Stability AI’s most capable text-to-image model to date with greatly improved performance in multi-subject prompts, image quality, and spelling abilities.

These AI tools are not just for tech enthusiasts; they’re for anyone interested in exploring the boundaries of creativity. They take simple text prompts and turn them into complex images that can be startlingly beautiful or intriguingly abstract. But with several options available, it can be challenging to decide which one to use for your next project. The Stable Diffusion 3 suite of models currently ranges from 800M to 8B parameters combining a diffusion transformer architecture and flow matching.  If you’d like to sign up to be put on the wait list to try out the latest Stable Diffusion 3 AI art generator jump over to the Stability AI website to register your details.

Stable Diffusion 3 is a standout for producing high-resolution images that are clear and detailed. It’s particularly adept at understanding and executing complex prompts, making it a strong choice for projects that require a high degree of specificity. This AI art generator is also known for its ability to accurately incorporate text into images, which is essential for designs where words are a central element.

Comparatively, Midjourney 6 offers a unique aesthetic that may appeal to those looking for a distinctive style. It has its own way of interpreting prompts, which can result in art that has a particular charm or character. DallE 3, on the other hand, is celebrated for its ability to replicate styles with high fidelity. If you’re looking to mimic a certain artistic style, DallE 3 might be the AI art generator you need.

Stable Diffusion 3 vs Midjourney 6 vs DallE 3

As we look to the future, Stable Diffusion 3 is set to introduce new features that will allow for even more creative control. The ability to edit parts of an image (in-painting) and create animations (video features) are on the horizon. Additionally, the potential for open-source collaboration means that a community of users could contribute to its development, leading to a tool that’s constantly improving and expanding its capabilities.

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However, it’s important to keep in mind that these AI art generators require significant computing power. To get the most out of them, you’ll need a robust setup. This is a key consideration when choosing which AI art generator to work with, as not everyone has access to high-end computing resources.

When evaluating these AI art generators, it’s essential to consider how well they can produce realistic images, maintain a consistent style, and meet the aesthetic standards of your project. Each generator has its own way of handling these aspects, which means the results can vary widely. It’s important to test them out and see which one aligns best with the goals of your project.

For those eager to explore the capabilities of Stable Diffusion 3, there’s an early access waitlist. This provides a chance to experience its features firsthand and see how they stack up against Midjourney 6 vs DallE 3.

The field of AI art generation is advancing quickly, with Stable Diffusion 3, Midjourney 6, and DallE 3 leading the way. They each have their strengths, whether it’s in the clarity of the images they produce, their adherence to prompts, or their ability to integrate text into visuals. As these tools continue to develop, we can anticipate even more sophisticated and imaginative creations. Ultimately, the choice of which AI art generator to use will come down to your personal artistic vision and what you need for your creative work. To learn more about the new Stable Diffusion AI art generator released by Stability AI jump over to the official website.

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Stable Diffusion 3 AI image generator launched by Stability AI

Stable Diffusion 3 AI art generator launched by Stability AI

Stability AI has unveiled its latest creation, Stable Diffusion 3, an artificial intelligence image generator that has taken a significant leap forward in the field. This new AI art generator which is currently available in early preview  and not yet widely available, is capturing the attention of tech enthusiasts and creative minds alike with its enhanced ability to interpret prompts and produce images of remarkable quality. Unlike its predecessors and current rivals, DALL-E 3 and Midjourney v6, Stable Diffusion 3 is not just another step in AI development; it represents a substantial advancement in how machines understand and create visual content.

The Stable Diffusion 3 suite of AI models currently ranges from 800M to 8B parameters and combines diffusion transformer architecture with flow matching. One of the most impressive features of Stable Diffusion 3 is its refined prompt understanding. Users will notice that the AI is now more adept at grasping the nuances of language, accurately incorporating text into images with correct spelling and context. This means that the images generated are not only visually stunning but also make sense in relation to the prompts given. This level of comprehension is a testament to the strides made in AI’s ability to interpret human language and translate it into coherent visual representations.

Stable Diffusion 3

What sets Stable Diffusion 3 apart even further is its commitment to community-driven progress. By releasing the platform as open-source, Stability AI has essentially handed the keys to the public, allowing anyone with interest and skill to contribute to the evolution of this technology. This approach democratizes the development process, inviting input from developers, artists, and AI enthusiasts worldwide. The collective effort can lead to rapid improvements and innovations, making Stable Diffusion 3 a product of its community as much as its creators. Stability AI explains more :

“We believe in safe, responsible AI practices. This means we have taken and continue to take reasonable steps to prevent the misuse of Stable Diffusion 3 by bad actors. Safety starts when we begin training our model and continues throughout the testing, evaluation, and deployment. In preparation for this early preview, we’ve introduced numerous safeguards. By continually collaborating with researchers, experts, and our community, we expect to innovate further with integrity as we approach the model’s public release.

Our commitment to ensuring generative AI is open, safe, and universally accessible remains steadfast. With Stable Diffusion 3, we strive to offer adaptable solutions that enable individuals, developers, and enterprises to unleash their creativity, aligning with our mission to activate humanity’s potential.”

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At the core of Stable Diffusion 3 is its diffusion Transformer architecture. This sophisticated framework enables the AI to scale efficiently and handle a variety of inputs, including the remarkable ability to transform sounds into images. This opens up a world of possibilities for both creative and practical applications, pushing the boundaries of what AI image generation can achieve. The diffusion Transformer architecture is a testament to the ingenuity behind Stable Diffusion 3, showcasing the potential for AI to venture into previously uncharted territories.

The ethos behind Stable Diffusion 3 is to empower and inspire. By making advanced AI technology more accessible, Stability AI is removing barriers that have traditionally limited who can experiment with and benefit from AI-generated art and applications. This tool is designed to encourage a wave of creativity, enabling users to push the limits of what can be created with AI assistance. Whether for artistic expression, business use, or personal projects, Stable Diffusion 3 is poised to be a catalyst for innovation.

The launch of Stable Diffusion 3 from Stability AI marks a significant moment in the evolution of AI image generation. Its superior prompt understanding and image quality, combined with an open-source philosophy, position it at the forefront of the industry. As the community eagerly anticipates the detailed technical report, there is a sense of excitement about the potential of Stable Diffusion 3 to shape the future of AI. With its focus on broadening access and fostering creativity, Stability AI’s latest offering is set to be a key player in the ongoing development of artificial intelligence.

Image Credit :  Stability AI

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Stable Diffusion WebUI Forge – 75% faster than Automatic 1111

Stable Diffusion WebUI Forge up to 75% faster than Automatic 1111

A new user interface in the form of Stable Diffusion WebUI Forge, has been released providing users with a significant advancement in the realm of image synthesis and manipulation. Forge has been specifically designed to enhance the functionality and efficiency of the original Stable Diffusion WebUI, which is built upon the Gradio framework. The WebUI Forge interface is designed to significantly speed up operations, making it a vital addition to the toolkit of both professionals and enthusiasts. Stability AI of also this week introduced it’s new Stable Cascade AI art generator.

This guide will provide an overview of the new user interface, highlighting its inspiration, improvements in performance, and added functionalities, along with guidance on installation for those looking to integrate it into their workflow. The naming and conceptual foundation of Forge draw inspiration from Minecraft Forge, a popular modding platform that facilitates the creation, management, and installation of mods for Minecraft. Similarly, Stable Diffusion WebUI Forge aims to serve as a foundational layer for the Stable Diffusion ecosystem, enhancing the development experience, optimizing resource usage, and accelerating the inference process for creators and developers alike.

Improved performance

One of the key advantages of using Stable Diffusion WebUI Forge is the significant improvement in performance metrics across various hardware configurations. Users with common GPUs, such as those with 8GB of VRAM, can expect inference speed improvements ranging from 30% to 45%. Additionally, Forge optimizes GPU memory usage, reducing the peak memory footprint by 700MB to 1.3GB.

This optimization not only accelerates the processing time but also enables higher resolutions and larger batch sizes for diffusion tasks without running into out-of-memory (OOM) errors. Similarly, improvements are observed with less powerful and more powerful GPU setups, with varying degrees of speed-up in inference speed, reductions in GPU memory usage, and enhancements in diffusion resolution and batch size capabilities.

Forge UI – 75% faster than Automatic 1111

The benefits of using Forge UI are immediately apparent, with users reporting impressive speed increases that vary depending on their hardware capabilities. For instance, individuals with an 8 GB VRAM GPU have experienced a 30-45% acceleration in their processes. Those with a 6 GB VRAM GPU have seen even more dramatic improvements, with a 60-75% increase in speed. And it’s not just those with less powerful GPUs who benefit; even the most advanced 24 GB VRAM GPUs enjoy a 3-6% boost. These enhancements are not merely theoretical; they have practical implications, allowing users to complete projects more quickly and efficiently.

Forge also broadens the range of samplers available to users, adding options like DDPM, DDPM Karras, DPM++ 2M Turbo, and several others. These samplers extend the versatility and quality of image generation, offering users a wider array of choices to suit their specific needs and preferences.

A notable innovation within Forge is the introduction of the Unet Patcher. This tool facilitates the implementation of advanced methods such as Self-Attention Guidance, Kohya High Res Fix, and others with minimal coding effort—about 100 lines of code. The Unet Patcher eliminates the need for complicated modifications to the UNet architecture, thereby avoiding conflicts with other extensions and streamlining the development process. With this addition, users can explore new functionalities like SVD, Z123, masked Ip-adapter, and more, enhancing the creative possibilities and technical capabilities available within the Stable Diffusion framework.

Installation

The ease of setting up Forge UI is another aspect that users appreciate. The process is straightforward: one simply needs to download the installation package from the official GitHub repository, extract the files, and run the batch files. This simplicity extends to customization as well. Users can delve into the web UI folder to adjust various settings, such as themes and file paths, ensuring that the interface meets their specific requirements.

For those interested in integrating Forge into their existing Stable Diffusion setup, the process requires a degree of proficiency with Git. The installation involves setting up Forge as an additional branch of the SD-WebUI, allowing users to leverage all previously installed SD checkpoints and extensions. This approach ensures a seamless transition to Forge, preserving the functionality and customizations of the original WebUI while unlocking the enhanced capabilities of Forge.

Additional features

Forge UI distinguishes itself from other interfaces with its suite of additional features. It includes specialized tabs for training and SVD, as well as integrated tools like ControlNet, dynamic thresholding, and latent modifiers. These tools offer users an unprecedented level of control and flexibility, surpassing what is available in other interfaces, such as Automatic 1111. Moreover, the ability to create masks directly within Forge UI provides users with new avenues for precision and creativity in their projects.

It should be noted that while Forge UI is comprehensive, there is a need to download certain models, like ControlNet models, separately. This extra step is a minor inconvenience when weighed against the creative freedom and versatility that Forge UI provides. By allowing the application of different ControlNets to specific areas of an image, users can tailor their projects with greater specificity.

Features of Forge

Stable Diffusion WebUI Forge has been designed to serve as a foundational layer for Stable Diffusion, facilitating easier development, optimized resource management, and faster inference.

  • Performance Enhancements:
    • Significant speed-up in inference speed across different GPUs.
    • Reduced GPU memory peak, allowing for more efficient resource usage.
    • Increased maximum diffusion resolution without encountering out-of-memory (OOM) errors.
    • Larger maximum diffusion batch sizes achievable without OOM.
  • Unet Patcher:
    • Simplifies the implementation of advanced methods like Self-Attention Guidance and Kohya High Res Fix with approximately 100 lines of code.
    • Avoids the need for complicated UNet modifications, preventing conflicts with other extensions.
  • New Functionalities Supported:
    • Introduction of features such as SVD, Z123, masked Ip-adapter, masked controlnet, photomaker, and more.
    • Enables the use of advanced image synthesis and manipulation techniques within the Forge platform.
  • Additional Samplers:
    • Extends the range of available samplers, including DDPM, DDPM Karras, DPM++ 2M Turbo, and several others.
    • Offers users a greater variety of options for image generation to suit specific needs and preferences.
  • User Interface Integrity:
    • Maintains the original user interface design of Automatic1111 WebUI, ensuring a familiar and intuitive experience for users.
    • Commits to not introducing unnecessary or opinionated changes to the user interface.
  • Installation for Advanced Users:
    • Provides guidance for proficient Git users to install Forge as an additional branch of SD-WebUI.
    • Enables seamless integration with existing SD checkpoints and extensions, preserving customizations while offering enhanced capabilities.

The new Forge user interface is more than a simple user interface; it is a robust enhancement for anyone engaged in Stable Diffusion processes. With its notable speed improvements, easy installation, and extensive features, Forge UI is designed to optimize and refine your workflow. It offers an efficient, adaptable, and time-saving solution that is poised to take your stable diffusion projects to the next level. Whether you’re a seasoned professional or an avid enthusiast, Stable Diffusion WebUI Forge is a tool that can help you unlock new potentials in your work, ensuring that you stay ahead in the competitive and ever-evolving landscape of technology.

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Build a real-time speech-to-image AI using Stable Diffusion

Build a real-time speech-to-image AI using Stable Diffusion

Imagine speaking into a microphone and watching as your words are transformed into images on your screen almost instantly. This isn’t a scene from a science fiction movie; it’s a reality made possible by an application demonstration created by All About AI that combines the power of artificial intelligence with the art of visual representation. This innovative tool is reshaping our interaction with technology by allowing us to convert spoken language into pictures in real time. Not only can you ask it to create individual images but you can also run audio into the script for it to create multiple images depending on what is said.

At the heart of this application is a complex process that begins with the sound of your voice. When you speak, your words are captured by a microphone and then swiftly and accurately interpreted by an advanced speech recognition system known as Faster Whisper. Once your speech is converted into text, the baton is passed to a sophisticated image generation model from CIT AI’s suite, aptly named Stable Fusion. This model takes the recognized speech and crafts it into visual art.

The application’s user interface is designed to be smooth and engaging, thanks to a Python extension that powers it. As you speak, you can witness the transformation from audio to visual in real time. A Flask app is employed to display the generated images dynamically, adding to the immediacy of the experience.

Real-time AI speech-to -image

Customization is a key aspect of this speech-to-image AI tool. The Python code behind the application is tailored to allow users to modify the image generation process. Whether you want to change the style, adjust the color palette, or fine-tune the details of the image, the application gives you the control to personalize your visual output.

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The versatility of this application is impressive. It has been tested with various types of audio inputs, proving its capability to handle a wide range of spoken content. From the clear enunciation found in podcasts to the whimsical narratives of bedtime stories, and even the complex layers of music videos, this tool adeptly converts different audio experiences into visual stories.

As the technology continues to evolve, users can anticipate more advanced image generation capabilities, increased customization options, and smoother integration with other digital platforms.  Speech-to-image applications are systems that convert spoken language into visual representations, typically images or sequences of images. This process involves several key steps and technologies.

How does speech-to-image AI work?

First, speech recognition is employed to convert spoken words into text. This involves complex algorithms that handle variations in speech, such as accents, intonation, and background noise. The accuracy of this step is crucial, as it forms the basis for the subsequent image generation.

Once the speech is transcribed, natural language processing (NLP) techniques interpret the text. This involves understanding the context, semantics, and intent behind the spoken words. For instance, if someone describes a “sunny beach with palm trees,” the system needs to recognize this as a description of a scene.

The next step is the actual image generation. Here, the interpreted text is used to create visual content. This is typically achieved through advanced machine learning models, particularly generative models like Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs). These models are trained on large datasets of images and their descriptions to learn how to generate accurate and realistic images from textual descriptions.

An example of a practical application of speech-to-image technology is in aiding creative processes, like in graphic design or filmmaking, where a designer or director can describe a scene and have a preliminary visual representation generated automatically. Another application is in assistive technologies, where speech-to-image systems can help individuals with disabilities by converting their spoken words into visual forms of communication.

The technology, while promising, faces challenges. Ensuring the accuracy of the generated images, particularly in capturing the nuances of the described scenes, is a significant hurdle. Additionally, ethical considerations arise, especially concerning the potential misuse of the technology for creating misleading or harmful content.

This breakthrough in real-time AI speech-to-image technology represents a significant step forward in the field of artificial intelligence. It creates a bridge between verbal communication and visual creativity, offering a glimpse into a future where our spoken words can be instantly visualized. This enriches our ability to express and interpret ideas, opening up new possibilities for how we communicate and interact with the world around us.

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5 Stable Diffusion prompt extensions for Automatic1111

5 Stable Diffusion prompt extensions for Automatic1111

The world of digital art is constantly evolving, and with the latest update to Automatic1111’s web UI, artists and creators are set to experience a new level of convenience and creativity in their work. The version 1.6 update brings with it a suite of extensions that are designed to streamline the image generation process and open up new possibilities for those who work with digital images.

One of the standout features of this update is the SD Dynamic Prompts extension. This tool allows artists to experiment with multiple prompt variations at once. By using wild cards and curly braces, you can create complex and nested prompts that can lead to unexpected and exciting results. The system is also designed to keep your prompts organized by managing whitespace effectively, which means you can focus on the creative aspects without worrying about the layout of your prompts.

For artists who often create images of people, the Clone Cleaner extension is a significant time-saver. An extension for Automatic1111 to work around Stable Diffusion’s “clone problem”. It automatically modifies your prompts with random names, nationalities, hair style and hair color to create more variations in generated people. This means you can quickly generate a diverse range of characters for your projects without having to manually adjust each prompt. It’s a simple way to add variety to your work and save time in the process.

Stable Diffusion prompt extensions

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The Tag Autocomplete feature is another useful tool that comes with this update. It helps artists by providing auto-completion suggestions for tags that are recognized by Stable Diffusion. These suggestions are drawn from popular image boards and come with an indicator that shows how popular each tag is. This feature is also compatible with wild cards and additional networks, giving you even more options to explore in your art.

For those who prioritize efficiency, the One Button Prompt extension is a game-changer and offers users a tool/script for Automatic1111, ComfyUI, RuinedFooocus for beginners who have problems writing a good prompt, or advanced users who want to get inspired. It simplifies the image generation process down to a single click, with customizable settings that let you fine-tune the results. You can select prompt elements and filter properties easily, making it a user-friendly option for both beginners and experienced artists. The workflow assist tab is also a great feature for those who like to experiment with multiple prompts, and the advanced settings provide detailed control over the final appearance of your images.

Lastly, the Unprompted extension is a powerful templating language and Swiss Army knife for the Stable Diffusion WebUI. It is geared towards users who enjoy a more hands-on approach to prompt crafting. It introduces short codes, text to mask, body snatcher, and variable manipulation, giving you a high degree of control over the creation process. The template editor is a highlight, as it makes it easier to create and modify prompts. And for those who are new to this or looking for inspiration, there are pre-developed templates that can help get you started.

The new extensions in Automatic1111’s web UI version 1.6 represent a significant step forward for digital artists and image creators. By incorporating these tools into your workflow, you can not only save time but also enhance the diversity and quality of your images. The developers welcome engagement and feedback on these extensions, and supporting their work is encouraged. Whether you’re a seasoned digital artist or just beginning your journey, these new features are designed to enrich your creative process and make your artistic endeavors more rewarding.

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How to create Stable Video Diffusion videos using ComfyUI

How to create Stable Video Diffusion videos using ComfyUI

In the world of video production, the rise of AI-generated videos has opened up a realm of possibilities for creators. At the forefront of this innovation is Stable Video Diffusion and the Comfy User Interface (UI), a tool that simplifies the process of making high-quality videos with the help of artificial intelligence. if you are thinking of starting to use Stable Video Diffusion to make high-quality AI generated videos Comfy UI is definitely worth checking out.

To start off, you’ll need to get ComfyUI up and running on your system, by installing the Comfy UI software and importing the necessary JSON configurations. These configurations are crucial as they dictate the quality and characteristics of your video, such as its resolution and how smoothly it plays. It’s important to always use the latest version of Comfy UI for the best results. For those who want to streamline their workflow, the Comfy UI Manager is a great addition, though it’s not a requirement. It helps manage your models, which can save you a lot of time.

Stable Video Diffusion

Stable Video Diffusion is an AI video generation technology that creates dynamic videos from static images or text, representing a new advancement in video generation.

  • Image Pre-training: Begins with static images to establish a strong foundation for visual representation.
  • Video Pre-training: Trains using a large video dataset (LVD) to enhance the model’s understanding of dynamic content.
  • High-Quality Video Fine-Tuning: Further fine-tunes on high-quality video data to improve the accuracy and quality of video generation.
  • Multi-View 3D Priors: The model can generate multi-view videos, offering a richer visual experience.
  • Text-to-Video Conversion: Capable of transforming textual descriptions into corresponding video content, demonstrating powerful creativity.

Speaking of models, before you can start creating videos, you’ll need to download the model checkpoints and place them in the correct folder. These checkpoints are what the AI uses to understand how to create your video. They are the learned experiences of the AI models. For video diffusion, models like SDXL and SVD are commonly used. The SVD XT models are particularly useful for projects that require a high number of frames, making them ideal for more complex video tasks.

To make the most of your computer’s power, you should run the NVIDIA GPU .bat file. This ensures that your video creation is GPU-accelerated, which significantly speeds up the process. This is especially helpful when you’re working on several videos at once, known as batch processing. For more information on the complete guide through all the stages of setting up the Comfy UI with Stable Video Diffusion watch the video created by My Why AI.

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Once your models and settings are in place, you can start customizing your video. Within ComfyUI, you’ll select the right checkpoints and tensors, and then you’ll enter prompts to begin the video generation. This is where you can really make the video your own. You have the ability to change the motion intensity and select the image format that best fits your vision.

When it’s time to export your videos, tools like the ComfyUI Manager and the Video Helper Suite are incredibly useful. They offer a variety of export formats, which is great for sharing your videos across different platforms. You can also tweak your video’s settings further, adjusting things like the motion bucket ID and frame rate to get the exact look and feel you want.

Finally, with everything set up, you’re ready to generate the output video. This is where your creative ideas come to life, as the AI models work with ComfyUI to produce your video. Once the generation is complete, it’s important to review the video to make sure it meets your expectations.

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Dall-E 3 vs Stable Diffusion vs Midjourney

Dall-E 3 vs Stable Diffusion vs Midjourney

When comparing Dall-E 3, Stable Diffusion, and Midjourney, each of these AI models showcases distinct features and advancements in the realm of text-to-image generation. This comprehensive DallE 3 vs Midjourney vs Stable Diffusion guide will provide more information on what you can expect from the three major players in the artificial intelligence image generation field.

Dall-E 3 stands out with its deep integration with ChatGPT, allowing for a conversational approach to refining and brainstorming image prompts, which is a notable enhancement over its predecessor, DALL-E 2. The system’s ability to understand nuanced prompts and the collaborative feature with ChatGPT distinguishes it for users who prefer an iterative, dialogue-based process in creating visuals. Moreover, Dall-E 3 takes significant strides in ethical considerations, with mechanisms to prevent the generation of images in the style of living artists and limitations to mitigate harmful biases and misuse such as generating images of public figures or propagating misinformation.

Stable Diffusion and its iteration, Stable Diffusion XL, offer the power to generate photo-realistic and artistic images with a high degree of freedom and shorter prompts. Its capabilities such as inpainting, outpainting, and image-to-image transformations provide a robust set of tools for users to edit and extend images. Stability AI’s commitment to making Stable Diffusion open-source reflects an emphasis on accessibility and community-driven development.

Midjourney differs in its approach by utilizing Discord as a platform for interaction, making the technology widely accessible without specialized hardware or software. It caters to a variety of creative needs with the ability to generate images across a spectrum from realistic to abstract, and it is praised for its responsiveness to complex prompts. The variety of subscription tiers also makes it adaptable for different users and their varying levels of demand.

While Dall-E 3 may be preferred for its conversational interface and ethical safeguards, Stable Diffusion stands as a testament to open-source philosophy and versatility in image modification techniques. Midjourney, on the other hand, offers accessibility and convenience through Discord, along with flexible subscription options. The choice between these models would ultimately depend on the specific needs and preferences of the user, whether those lie in the nature of the interaction, the range of artistic styles, ethical considerations, or the openness and modifiability of the AI platform.

DallE 3 vs Midjourney vs Stable Diffusion

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Quick reference summary

Dall-E 3:

  • Integration with ChatGPT: Offers a unique brainstorming partner for refining prompts.
  • Nuanced Understanding: Captures detailed prompt intricacies for accurate image generation.
  • Ethical Safeguards: Includes features to decline requests for living artists’ styles and public figures.
  • Content Control: Built-in limitations to prevent generation of inappropriate content.
  • User Rights: Images created are user-owned, with permission to print, sell, or merchandise.
  • Availability: Early access for ChatGPT Plus and Enterprise customers.

Stable Diffusion:

  • Open Source: Planned open-source release for community development and accessibility.
  • Short Prompts for Detailed Images: Less detail needed in prompts to generate descriptive images.
  • Editing Capabilities:
    • Inpainting: Edit within the image.
    • Outpainting: Extend the image beyond original borders.
    • Image-to-Image: Generate a new image from an existing one.
  • Realism: Enhanced composition and face generation for realistic aesthetics.
  • Beta Access: Available in beta on DreamStudio and other imaging applications.

Midjourney:

  • Platform: Accessible through Discord, broadening availability across devices.
  • Style Versatility: Capable of creating images from realistic to abstract.
  • Complex Prompt Understanding: Responds well to complex and detailed prompts.
  • Subscription Tiers: Offers a range of subscription options, with a 20% discount for annual payment.
  • Under Development: Still in beta, with continuous improvements expected.
  • Creative Use Cases: Suitable for various creative professions and hobbies.

Each of these AI-driven models provides unique attributes and tools for creators, offering a range of options based on their specific creative workflow, ethical considerations, and platform preferences.

More detailed explanations

DallE 3

DALL-E 3 marks a significant upgrade in the realm of text-to-image AI models, boasting an enhanced understanding of the subtleties and complexities within textual prompts. This improvement means that the model is now more adept at translating intricate ideas into images with remarkable precision. The advancement over its predecessor, DALL-E 2, is notable in that even when provided with identical prompts, DALL-E 3 produces images with greater accuracy and finesse.

A unique feature of DALL-E 3 is its integration with the conversational capabilities of ChatGPT, effectively creating a collaborative environment where users can refine their prompts through dialogue. This allows for a more intuitive and dynamic process of image creation, where the user can describe what they envision in varying levels of detail, and the AI assists in shaping these descriptions into more effective prompts for image generation.

Pricing and availability

DallE 3 is currently available to ChatGPT Plus and Enterprise customers, the technology remains not only accessible but also gives users full ownership of the images they create. This empowerment is critical as it enables individuals and businesses to use these images freely, without the need for additional permissions, whether it’s for personal projects, commercial use, or further creative endeavors.

With ethical considerations at the forefront, DALL-E 3 comes with built-in safeguards to navigate the complex terrain of content generation. In a proactive stance, it is programmed to reject requests that involve replicating the style of living artists, addressing concerns about originality and respect for creators’ rights. Additionally, creators can choose to have their work excluded from the datasets used to train future models, giving them control over their contributions to AI development.

OpenAI has also implemented measures to prevent the production of content that could be deemed harmful or inappropriate. This includes limiting the generation of violent, adult, or hateful imagery and refining the model to reject prompts related to public figures. These improvements are part of a collaborative effort with experts who rigorously test the model’s output, ensuring that it does not inadvertently contribute to issues like propaganda or the perpetuation of biases.

DALL-E 3 extends its functionality within ChatGPT, automatically crafting prompts that transform user ideas into images, while allowing for iterative refinement. If an image generated does not perfectly match the user’s expectation, simple adjustments can be communicated through ChatGPT to fine-tune the output.

OpenAI’s research continues to push the boundaries of AI’s capabilities while also developing tools to identify AI-generated images. A provenance classifier is in the works, aiming to provide a mechanism for recognizing images created by DALL-E 3. This tool signifies an important step in addressing the broader implications of AI in media and the authenticity of digital content.

Midjourney

Midjourney represents a new horizon in the field of generative AI, developed by the independent research lab Midjourney, Inc., based in San Francisco. This innovative program has been designed to create visual content directly from textual descriptions, a process made user-friendly and remarkably intuitive. Much like its contemporaries in the AI space, such as OpenAI’s DALL-E and Stability AI’s Stable Diffusion, Midjourney harnesses the power of language to shape and manifest visual ideas.

The service is remarkably accessible, utilizing the popular communication platform Discord as its interface. This means users can engage with the Midjourney bot to produce vivid images from textual prompts almost instantaneously. The convenience is amplified by the fact that there’s no need for additional hardware or software installations — a verified Discord account is the only prerequisite to tapping into Midjourney’s capabilities through any device, be it a web browser, mobile app, or desktop application.

Pricing and availability

Subscription options are varied, allowing users to choose from four tiers, with the flexibility of monthly payments or annual subscriptions at a discounted rate. Each tier offers its own set of features, including access to the Midjourney member gallery and general commercial usage terms, broadening its appeal to different user groups and usage intensities.

Midjourney’s versatility is one of its standout features. The AI is capable of generating a spectrum of styles, from hyper-realistic depictions to abstract and surreal visuals. This adaptability makes it a potent tool for a wide array of creative professionals, including artists, designers, and marketers. The potential uses are extensive, from generating lifelike images of people and objects to crafting abstract pieces, designing product prototypes, developing visual concepts for marketing, and providing illustrations for books and games.

Currently in beta, Midjourney is on a trajectory of ongoing improvement and development and has recently started rolling out its new website which features a wealth of new innovations and design elements. This phase allows for continuous refinements and enhancements to its capabilities, reflecting a dynamic and responsive approach to user feedback and technological advances.

The unique strengths of Midjourney lie in its diversity of styles and its ability to interpret and act on complex prompts, distinguishing it in the AI-driven creative landscape. As it evolves, Midjourney has the potential to significantly alter the way visual content is created and interacted with, offering a glimpse into a future where the boundary between human creativity and artificial intelligence becomes increasingly seamless.

Stable Diffusion

Stable Diffusion stands as a landmark development in the field of AI-generated artistry, embodying a powerful text-to-image diffusion model. This model distinguishes itself by being capable of generating images that are not just high quality but also strikingly photo-realistic. It is crafted to democratize the process of art creation, offering the means to produce captivating visuals from text prompts to a broad audience at an unprecedented speed.

The introduction of Stable Diffusion XL marks a notable leap forward in the model’s evolution. This enhanced version streamlines the process of creating complex images, as it requires less detailed prompts to produce specific and descriptive visuals. A unique aspect of Stable Diffusion XL is its ability to integrate and generate text within the images themselves, broadening the scope of how images can be created and the stories they can tell. The improvements in image composition and the generation of human faces contribute to outputs that are not only impressive in their realism but also in their artistic quality.

As Stable Diffusion XL undergoes beta testing on platforms like DreamStudio, it reflects Stability AI’s commitment to not only push the boundaries of AI capabilities but also to make such advancements widely available. Dream Studio is available to use for free and is capable of generating 512×512 images generated with SDXL v1.0 will be generated at 1024×1024 and cropped to 512×512. By releasing these models as open-source, Stability AI ensures that creators, developers, and researchers will have the freedom to build upon, modify, and integrate the model into a diverse range of applications.

The utility of Stable Diffusion XL is further enhanced by features such as inpainting and outpainting. Inpainting allows users to make detailed edits within the image, thereby providing a tool for nuanced adjustments and corrections. Outpainting, on the other hand, gives the user the creative leverage to expand the image canvas, effectively extending the visual narrative beyond its original borders. Moreover, the image-to-image feature takes an existing picture and transforms it in accordance with a new prompt, thereby opening up avenues for iteration and transformation that can lead to the evolution of a single concept through multiple visual variations.

Stable Diffusion XL’s capabilities represent a blend of technical sophistication and user-friendly design, offering a canvas for both experienced artists and newcomers to explore their creativity without the limitations imposed by traditional artistic mediums. As it moves towards open-source release, Stable Diffusion XL is set to become a cornerstone in the AI-driven creative landscape, influencing not only how art is made but also how it is conceptualized in the age of AI.

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Creating AI art with Stable Diffusion, ComfyUI and ControlNet

Creating AI art with Stable Diffusion ComfyUI and multiple ControlNet models

If you’ve been enjoying creating art using Stable Diffusion or one of the other AI models such as Midjourney or DallE 3 recently added to ChatGPT by OpenAI and available to Jews for free via the Microsoft Image Creator website. You might be interested in a new workflow created by Laura Carnevali which combines Stable Diffusion, ComfyUI and multiple ControlNet models.

Stable Diffusion XL (SDXL), created by the development team at Stability AI is well-known for its amazing image generation capabilities. While SDXL alone is impressive, its integration with ComfyUI elevates it to an entirely new level of user experience. ComfyUI serves as the perfect toolkit for anyone who wants to dabble in the art of image generation, providing an array of features that make the process more accessible, streamlined, and endlessly customizable.

AI art generation using Stable Diffusion, ComfyUI and ControlNet

ComfyUI operates on a nodes/graph/flowchart interface, where users can experiment and create complex workflows for their SDXL projects. What sets it apart is that you don’t have to write a single line of code to get started. It fully supports various versions of Stable Diffusion, including SD1.x, SD2.x, and SDXL, making it a versatile tool for any project.

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SDXL offers a plethora of ways to modify and enhance your art. From inpainting, which allows you to make internal edits, to outpainting for extending the canvas, and image-to-image transformations, the platform is designed for flexibility. Yet, it’s ComfyUI that truly provides the sandbox environment for experimentation and control.

ComfyUI node-based GUI for Stable Diffusion

The system is designed for efficiency, incorporating an asynchronous queue system that improves the speed of execution. One of its standout features is its optimization capability; it only re-executes the changed parts of the workflow between runs, saving both time and computational power. If you are resource-constrained, ComfyUI comes equipped with a low-vram command line option, making it compatible with GPUs that have less than 3GB of VRAM. It’s worth mentioning that the system can also operate on CPUs, although at a slower speed.

The types of models and checkpoints that ComfyUI can load are quite expansive. From standalone VAEs and CLIP models to ckpt, safetensors, and diffusers, you have a wide selection at your fingertips. It’s rich in additional features like Embeddings/Textual inversion, Loras, Hypernetworks, and even unCLIP models, offering you a holistic environment for creating and experimenting with AI art.

One of the more intriguing features is the ability to load full workflows, right from generated PNG files. You can save or load these workflows as JSON files for future use or collaboration. The nodes interface isn’t limited to simple tasks; you can create intricate workflows for more advanced operations like high-resolution fixes, Area Composition, and even model merging.

ComfyUI doesn’t fall short when it comes to image quality enhancements. It supports a range of upscale models like ESRGAN and its variants, SwinIR, Swin2SR, among others. It also allows inpainting with both regular and specialized inpainting models. Additional utilities like ControlNet, T2I-Adapter, and Latent previews with TAESD add more granularity to your customization efforts.

On top of all these features, ComfyUI starts up incredibly quickly and operates fully offline, ensuring that your workflow remains uninterrupted. The marriage between Stable Diffusion XL and ComfyUI offers a comprehensive, user-friendly platform for AI-based art generation. It blends technological sophistication with ease of use, catering to both novices and experts in the field. The versatility and depth of features available in ComfyUI make it a must-try for anyone serious about the craft of image generation.

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