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, which introduces support for 2.0 but requires Google Collab Pro or Pro Plus due to increased memory demands. The creator explains how to update the notebook and highlights the differences between the 1.5 and 2.0/2.1 models, emphasizing that while the 2.0 model is more realistic, it may not be superior but rather different. Various prompts are tested, demonstrating the model's versatility in generating both realistic and artistic images, and the video concludes with a guide on using custom models and the new notebook.

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 for quick access and setup.
  • 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 or Pro Plus account.
  • ๐Ÿ†• The 2.1 model is an improvement over the 2.0, fixing some of the limitations and re-enabling portrait generation.
  • ๐ŸŽจ The 2.0 and 2.1 models are considered different rather than better than the 1.5 version, offering new capabilities and options.
  • ๐Ÿ“ธ The 2.0 model is noted for generating more realistic images, while the 1.5 model is still preferred for certain artistic scenes.
  • ๐ŸŒ Widescreen images are now better supported in the 2.0 and 2.1 models.
  • ๐Ÿ’ก The creator shares prompts and techniques for using the new models on YouTube and Patreon.
  • ๐Ÿ› ๏ธ The video also serves as a guide on how to use custom models with the updated notebook.

Q & A

  • What is the main topic of the video?

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

  • 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 improvement over the 2.0 model, fixing some issues like the generation of portraits and handling of artist modifiers. The 2.0 model removed some images due to not safer work filters, while the 2.1 model added more people back into the model.

  • How can one obtain the 2.1 model?

    -The 2.1 model can be obtained from the provided hugging face page link in the video script. It is recommended to download the 512 EMA pruned version for use.

  • What are some of the changes made to the notebook to accommodate the new models?

    -Some changes include selecting the 512 base EMA for the 2.0 model, changing to 'V2 inference', and for the 2.1 model, uploading it to the drive and specifying the model path under 'Custom'.

  • How does the video creator use the different models for generating images?

    -The video creator uses the Euler sampler for faster rendering and then switches to more realistic samplers like DPM2 or 2sa for higher quality, more detailed images.

  • What is the creator's view on the 2.0 model compared to the 1.5 model?

    -The creator does not consider the 2.0 model better than the 1.5 model. Instead, they see both as different tools in their toolbox, each suitable for different types of images and purposes.

  • How does the video script address the issue of the notebook not working for some users?

    -The script provides a solution by directing users to download a fresh copy of the new notebook, which is compatible with both the 1.5 and the 2.0/2.1 models.

  • What are the creator's plans for sharing prompts for the 2.0 and 1.5 models?

    -The creator plans to release weekly prompts for both models on their Patreon page and YouTube channel, with modified prompts for the 2.0 model using a clip interrogator.

  • What is the significance of the video creator's demonstration with different resolutions and samplers?

    -The demonstration aims to show the versatility and capabilities of the 2.0 and 2.1 models in handling various resolutions and the different artistic and realistic outcomes that can be achieved with different samplers.

Outlines

00:00

๐Ÿ“ Introduction to New Stable Diffusion Version

The speaker introduces a new version of deformed diffusion for stable diffusion, highlighting its 2.0 support and noting that it may break previous notebook versions. They provide a quick solution for users to get their notebook up and running again by posting a link to a new notebook. The speaker also mentions a disclaimer about the requirements for using the 2.0 model, which includes needing Google Collab Pro or Pro Plus due to its higher memory demands. They share their experience of testing the model with standard memory and its limitations, and hint at potential future updates if a solution is found. The speaker then transitions to discussing the 2.1 model, which they find superior to the 2.0, and shares their experience with its capabilities and improvements.

05:01

๐Ÿ”— Downloading and Using the 2.1 Model

The speaker provides instructions on downloading and using the 2.1 model, emphasizing its advantages over the 2.0 model. They guide the user through the process of uploading the model to their drive and adjusting settings in the notebook to use the 2.1 model. The speaker explains the changes they made to the notebook configuration and how to select the appropriate model for use. They also discuss the prompt creation process for the 2.1 model, mentioning the use of a clip interrogator to convert prompts from the 1.5 model. The speaker shares their experience with different samplers and their effects on the output images, highlighting the 2.1 model's ability to handle various image styles and resolutions.

10:03

๐Ÿ–Œ๏ธ Exploring Creative Prompts and Samplers

The speaker delves into the exploration of creative prompts and the use of different samplers with the 2.1 model. They demonstrate how to generate images using various prompts and discuss the impact of different samplers on the final output. The speaker shares their personal preferences for certain samplers and the types of images they produce. They also touch on the model's ability to handle widescreen images and its rendering speed. The speaker provides insights into their prompt creation process, mentioning the use of the Euler model for faster rendering and the ancestral model for more realistic images. They conclude by showing how the 2.1 model can produce both artistic and photorealistic images, depending on the user's preferences and prompt choices.

15:04

๐ŸŽจ Comparing 2.0 and 1.5 Models

The speaker compares the 2.0 and 1.5 models, discussing their individual strengths and weaknesses. They explain that while the 2.0 model produces cleaner images, they still prefer the 1.5 model for certain types of scenes. The speaker emphasizes that both models are valuable tools and that they approach them as such, using each for different purposes. They also discuss the importance of adjusting the steps and scale when increasing the resolution for better image quality. The speaker shares their experience with creating prompts for the 2.0 model and their process of modifying prompts from the 1.5 model. They demonstrate the 2.0 model's capability to produce artistic images and reiterate that it's about the user's choice of prompt and desired outcome.

20:04

๐Ÿš€ Testing High-Resolution Images and Samplers

The speaker conducts an experiment to test the 2.0 model's performance with high-resolution images. They share their process of increasing the image resolution and adjusting the steps and scale for optimal results. The speaker discusses the model's ability to handle higher resolutions and its impact on the rendering speed and image quality. They also compare different samplers and their suitability for various prompts, providing insights into how different settings can affect the final output. The speaker emphasizes the importance of understanding the credit system in Google Collab Pro and how it allows for extensive use with minimal costs. They conclude by reiterating the flexibility and potential of the 2.0 model for creating a wide range of image styles.

25:05

๐Ÿ“Œ Conclusion and Future Updates

The speaker concludes the video by summarizing the main points discussed and the demonstration of using the 2.0 and 2.1 models. They address the issue of broken notebooks and provide a solution by recommending the new notebook for users to continue their work. The speaker expresses their intention to continue refining their prompt creation process and shares their plans to release weekly prompts for YouTube channel members and the broader community. They encourage viewers to explore the capabilities of the 2.0 and 2.1 models and to use them as additional tools in their creative toolbox.

Mindmap

Keywords

๐Ÿ’กDeformed Diffusion

Deformed Diffusion is a term used in the context of AI-generated images, referring to a specific model or version of a diffusion model. In the video, it is mentioned that a new version of Deformed Diffusion has been released, which is compatible with Stable Diffusion and offers support for version 2.0. This is significant as it allows for the creation of images with more realistic features and better handling of certain subjects.

๐Ÿ’กStable Diffusion

Stable Diffusion is a type of AI model used for generating images based on textual descriptions. It is a term used in the context of machine learning and AI development. The video mentions that the new version of Deformed Diffusion is designed to work with Stable Diffusion, indicating an integration between the two models for enhanced image generation capabilities.

๐Ÿ’กGoogle Colab Pro

Google Colab Pro is a professional version of Google's Colaboratory platform, which provides resources for running AI models and other computational tasks. In the context of the video, it is mentioned that to use the 2.0 model of Deformed Diffusion, one needs a Google Colab Pro or Pro Plus account due to the increased memory requirements of the model.

๐Ÿ’กNot Safe For Work Filters

The term 'Not Safe For Work' (NSFW) filters refers to content filtering systems that are used to block or tag explicit or inappropriate content in the workplace or public settings. In the video, it is mentioned that the 2.0 model of Deformed Diffusion removed these filters, which resulted in the model not generating certain types of images, such as portraits, as effectively as before.

๐Ÿ’ก2.1 Model

The 2.1 model is an updated version of the Deformed Diffusion model, which is mentioned as an improvement over the 2.0 model. It is designed to fix some of the limitations introduced by the 2.0 model, such as the reduced ability to generate portraits. The 2.1 model is recommended in the video for users who want to utilize the enhanced features of the 2.0 model without the restrictions.

๐Ÿ’กPrompts

In the context of AI image generation, prompts are textual descriptions or inputs that guide the AI model in creating a specific image. The video discusses the use of prompts with the Deformed Diffusion model, emphasizing the importance of crafting effective prompts to achieve desired results.

๐Ÿ’กEuler and DPM2SA

Euler and DPM2SA are different samplers or algorithms used in the process of AI image generation. They determine how the AI model interprets the prompts and creates images. In the video, the speaker compares the results produced by these samplers and discusses their preferences and usage scenarios.

๐Ÿ’กWidescreen

Widescreen refers to a type of image or video format that has a aspect ratio (the relationship between width and height) that is wider than the standard format. The video discusses the ability of the 2.0 and 2.1 models to handle widescreen images, which was a feature that the speaker particularly 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 than the standard models.

๐Ÿ’กCustom Models

Custom models in the context of AI image generation refer to user-uploaded or modified versions of the base AI model. These models can be tailored to generate specific types of images or styles. The video provides guidance on how to use custom models with the Deformed Diffusion notebook.

๐Ÿ’กYouTube Channel Members

YouTube Channel Members refers to individuals who have chosen to support a content creator's channel on YouTube by becoming members, often gaining access to exclusive content and perks. In the video, the speaker mentions sharing prompts and other content with their YouTube Channel Members.

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 higher 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 removed certain filters, impacting the generation of some types of images.

The presenter shares their experience with the 2.1 model, finding it to be a better choice than the 2.0 for certain applications.

Instructions are provided on how to obtain and use the new notebook, including downloading and setting up the 2.0 and 2.1 models.

The presenter demonstrates the process of running the 2.0 model from the notebook and the necessary configuration changes.

The use of different 'samplers' is explored, showing how they can affect the realism and artistic style of the generated images.

The presenter discusses the credit system of Google Collab Pro and how it allows for cost-effective usage of the 2.0 model.

Widescreen images are now better supported in the 2.0 and 2.1 models, addressing a previous limitation.

The presenter shares a variety of prompts and discusses the process of creating and adapting prompts for the 2.0 and 2.1 models.

The presenter provides a detailed guide on uploading and using custom models with the new notebook.

The 2.0 model is described as rendering cleaner images compared to previous versions.

The presenter compares the 2.0 and 1.5 models, highlighting the differences and potential uses for each.

The presenter demonstrates how to achieve high-resolution images using the 2.0 model and the impact on computational resources.

The presenter shares their creative process and the aesthetic choices behind their image prompts.

The updated notebook and its features are shown to be a valuable resource for artists and developers working with AI-generated images.