Stable Diffusion AI Deforum 0.6 notebook With 2.0 support With prompt samples Demo of 2.1 model

Prophet of the Singularity
27 Dec 202227:23

TLDRThe video discusses the release of a new version of deformed diffusion for stable diffusion, highlighting its support for Google Collab 2.0 and the need for extra memory due to the model's requirements. The creator explains the process of updating the notebook and provides a link for a fresh copy. They compare the 2.0 and 2.1 models, noting the improvements in the latter, particularly in generating portraits and handling artistic images. The video also shares various prompts and demonstrates how to use different models and samplers to achieve desired image outcomes, emphasizing the versatility of the 2.0 model for both realistic and artistic renderings.

Takeaways

  • ๐Ÿ“ A new version of deformed diffusion for stable diffusion has been released, offering support for 2.0.
  • ๐Ÿšซ Previous versions of the notebook have been broken by the update, requiring a fresh copy of the new notebook.
  • ๐Ÿ”— A link to the new notebook is provided in the video description for easy access.
  • ๐Ÿ’ก The 2.0 model requires Google Collab Pro or Pro Plus due to its higher memory demands.
  • ๐Ÿ” The 2.0 model does not support standard memory and the creator experienced difficulties running it without a Pro account.
  • ๐Ÿ†• The 2.1 model is an improvement over the 2.0, fixing issues with portrait generation and offering better overall performance.
  • ๐ŸŽจ Both the 2.0 and 2.1 models can generate artistic images, though they differ from the 1.5 model in their style and output.
  • ๐Ÿ“ธ The video provides a tutorial on how to use the new models, including how to upload and utilize custom models.
  • ๐ŸŒ Widescreen images are now better supported in the 2.0 and 2.1 models, addressing previous limitations.
  • ๐Ÿ“Š The creator demonstrates the use of different samplers and their impact on the style and realism of the generated images.
  • ๐Ÿ”ง The video includes troubleshooting tips for users experiencing issues with their notebooks due to the update.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is about the new version of deformed diffusion for stable diffusion, its features, and how to use it effectively.

  • What issue did the new version of deformed diffusion cause with previous versions of the notebook?

    -The new version of deformed diffusion broke previous versions of the notebook, which is why the video provides a solution to get the notebook up and running again.

  • What is the requirement for using the 2.0 model in deformed diffusion?

    -To use the 2.0 model in deformed diffusion, one needs to have either Google Colab Pro or Pro Plus due to the extra memory required for the model.

  • What is the difference between the 2.0 and 2.1 models?

    -The 2.1 model is an improved version of the 2.0 model. It fixes some issues, such as the generation of portraits which was affected by the not safer work filters in the 2.0 model.

  • How does the video creator describe the 2.0 model in comparison to the 1.5 model?

    -The video creator does not consider the 2.0 model to be better than the 1.5 model. Instead, they view them as different tools, each with their own strengths and suitable for different types of images.

  • What is the video creator's process for creating prompts for the 2.0 model?

    -The video creator initially makes the prompts in the 1.5 model, then uses a tool called the clip interrogator to convert them into prompts for the 2.1 model. They also modify them further based on their experience and learning with the 2.0 model.

  • How does the video demonstrate the use of different Samplers with the 2.0 model?

    -The video demonstrates the use of different Samplers like Euler, DPM 2sa, and others by showing how they affect the rendering speed and the level of realism in the generated images.

  • What is the video creator's recommendation for handling high-resolution images with the 2.0 model?

    -The video creator recommends increasing the steps and scale when handling high-resolution images with the 2.0 model to ensure better detail and composition in the final output.

  • How does the video address the issue of the 2.0 model not generating certain types of content?

    -The video mentions that the 2.0 model initially had filters that removed a lot of content, particularly portraits. However, the 2.1 model addresses this by adding more people back into the model, allowing for the generation of portraits again.

  • What is the video creator's advice for users who don't have Google Colab Pro or Pro Plus?

    -The video creator advises users who don't have Google Colab Pro or Pro Plus that there's no need to get the 2.0 model, as it requires extra memory and won't run without a High Ram runtime shape, which is not accessible on a free account.

  • What additional resources does the video creator provide for users interested in the 2.0 and 2.1 models?

    -The video creator provides a link to a hugging face page where users can get the 2.1 model and also mentions that they will post prompts for both the 1.5 and 2.0 models on their Patreon page and YouTube channel.

Outlines

00:00

๐Ÿ“š Introduction to New Stable Diffusion Version

The speaker introduces a new version of deformed diffusion for stable diffusion, highlighting its 2.0 support and the issues with previous notebook versions. They provide a quick solution for users to get their notebooks running again and mention a disclaimer about the requirements for using the 2.0 model, specifically noting the need for Google Collab Pro or Pro Plus due to the model's high memory demands. The speaker also discusses their testing process and the forthcoming update if they find a way to run the model with standard memory.

05:01

๐Ÿ”„ Transitioning to the 2.1 Model

The speaker guides users on transitioning to the 2.1 model, which they find superior to the 2.0 version. They explain the process of downloading and uploading the 2.1 model to Google Drive and adjusting the notebook settings to use this new model. The speaker emphasizes the improvements in the 2.1 model, particularly its ability to generate portraits and handle artist modifiers better. They also share their experience with the model's performance and the changes they made to the notebook configuration.

10:03

๐Ÿ–Œ๏ธ Exploring Prompts and Samplers

The speaker delves into the use of different prompts and samplers with the 2.0 and 2.1 models. They demonstrate how to achieve various artistic and photorealistic effects by adjusting the prompts and sampler settings. The speaker also discusses the credit system for Google Colab Pro and how it allows for extensive use of the service at a low cost. They showcase the model's capability to handle widescreen images and its improved rendering quality.

15:04

๐ŸŽจ Comparing 2.0 and 1.5 Models

The speaker compares the 2.0 and 1.5 models, emphasizing that both have their unique strengths and are like different tools in a toolbox. They explain that the 2.0 model renders cleaner images and is good for both realistic and artistic creations. The speaker also shares their personal preference for the 1.5 model in certain scenarios and how they have been refining their prompts for better results with the 2.0 model.

20:04

๐Ÿš€ Testing High-Resolution Images

The speaker experiments with high-resolution images using the 2.0 model, pushing the limits of the model's capabilities. They discuss the impact of increasing resolution on the rendering process and the model's performance. The speaker also shares their excitement about the model's ability to handle larger resolutions and its potential for creating detailed and intricate images.

25:05

๐ŸŽ‰ Conclusion and Future Plans

The speaker concludes the video by summarizing the demonstration of the new stable diffusion version and its features. They address the issue of broken notebooks and provide a solution for users to resume their work. The speaker also mentions their plans to release weekly prompts for their YouTube channel members and the general public, expressing their enthusiasm for continuing to explore and share their experiences with the 2.0 and 2.1 models.

Mindmap

Keywords

๐Ÿ’กDeformed Diffusion

Deformed Diffusion is a term used in the context of AI-generated images and refers to a specific model or version of a diffusion model. In the video, the speaker discusses a new version of this model for stable diffusion, indicating an update or improvement to the existing technology.

๐Ÿ’กStable Diffusion

Stable Diffusion is likely a reference to a stable or reliable version of a diffusion model used in AI image generation. The term implies a system that produces consistent results without significant fluctuations or errors.

๐Ÿ’ก2.0 Support

The term '2.0 Support' refers to the compatibility or functionality of a software or model with a specific version, in this case, version 2.0. It suggests that the new version of Deformed Diffusion offers features or capabilities that were not present in previous versions.

๐Ÿ’กGoogle Colab Pro

Google Colab Pro is a professional version of Google Colaboratory, a cloud-based platform for machine learning and data analysis. The Pro version offers additional features such as higher memory limits and faster processing, which are essential for running more complex AI models like the 2.0 model discussed in the video.

๐Ÿ’กNot Safe For Work Filters

The term 'Not Safe For Work Filters' refers to content filters that are designed to exclude or restrict explicit or adult content. In the context of the video, it is mentioned that the 2.0 model removed these filters, leading to the exclusion of certain types of images, particularly portraits, from being generated.

๐Ÿ’ก2.1 Model

The 2.1 Model is an updated or modified version of the 2.0 model in AI image generation. It is implied that this version addresses some of the limitations of the 2.0 model, such as the inability to generate portraits, and offers improved performance or additional features.

๐Ÿ’กPrompts

In the context of AI image generation, 'prompts' are the input text or descriptions given to the AI model to guide the generation of specific images. Prompts are crucial as they directly influence the output of the AI, determining the content and style of the generated images.

๐Ÿ’กEuler

Euler, in the context of the video, refers to a specific type of sampler used in AI image generation. Samplers are algorithms that determine how the AI model processes and generates the final image based on the prompt. Euler is mentioned as a faster and more artistic sampler option.

๐Ÿ’กDPM2SA

DPM2SA is another type of sampler mentioned in the video, which is used for generating more realistic and detailed images. It is one of the options available for users to choose from when running the AI model, indicating a preference for different visual styles or levels of detail.

๐Ÿ’กWidescreen

Widescreen refers to a display format that has a wider aspect ratio than a standard screen, providing a larger horizontal field of view. In the video, the speaker discusses the AI model's ability to handle widescreen images, which was a feature they enjoyed and missed.

๐Ÿ’กHigh Ram Runtime

High Ram Runtime refers to a computational environment with a larger amount of random-access memory (RAM) available for processing tasks. In the context of the video, it is necessary for running the 2.0 model of Deformed Diffusion, as the model requires more memory to function properly.

Highlights

A new version of deformed diffusion has been released, offering support for Stable Diffusion 2.0.

The updated notebook has fixed issues with previous versions and is now compatible with the latest 2.0 model.

Users need a Google Collab Pro or Pro Plus account to run the 2.0 model due to its increased memory requirements.

The 2.1 model is an improvement over the 2.0, addressing some of the limitations and restoring the ability to generate portraits.

The 2.0 model has removed certain filters, resulting in a more realistic image generation but with some limitations on content.

The presenter shares their experience with the 2.0 and 2.1 models, comparing their outputs and providing insights on their usage.

A detailed guide on how to update and use the new notebook with the 2.0 and 2.1 models is provided.

The presenter demonstrates how to switch between different models within the notebook and adjust settings for optimal results.

The 2.1 model is recommended for users who want to utilize the benefits of the 2.0 model without the restrictions.

The presenter provides a link to the Hugging Face page where users can access the 2.1 model.

Instructions on how to upload and use custom models in the notebook are given.

The presenter discusses the importance of using appropriate prompts for different models and the impact on the generated images.

A variety of prompts are shared, showcasing the capabilities of the 2.0 and 2.1 models in creating different types of images.

The presenter explains how to adjust the notebook settings for different resolutions and image qualities.

The presenter demonstrates the notebook's ability to handle widescreen images and the benefits of using different samplers.

The presenter emphasizes the cost-effectiveness of using the Pro Plus account for extended periods of image generation.

The presenter concludes by encouraging users to explore the 2.0 and 2.1 models as additional tools in their creative toolbox.