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 the latter is more realistic but still capable of artistic images. The video also shares prompts and demonstrates how to use the new models for various image outputs, including widescreen formats.

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 this update, requiring a fresh copy to continue using the notebook.
  • ๐Ÿ”— A link to the new notebook is provided for users to quickly get it up and running again.
  • ๐Ÿ’ก The 2.0 model requires Google Collab Pro or Pro Plus due to the increased memory needs.
  • ๐Ÿ” The speaker tested the 2.0 model and found it doesn't work with standard memory.
  • ๐Ÿ†• The 2.1 model is also available, which is an improvement over the 2.0 and is recommended for use.
  • ๐ŸŽจ The 2.0 model removed certain filters, affecting the generation of some types of images, but the 2.1 model addressed some of these issues.
  • ๐Ÿ–Œ๏ธ The speaker shares their experience with the 2.0 and 2.1 models, noting differences in image generation and artistic capabilities.
  • ๐Ÿ“ธ The speaker discusses various prompts and samplers, and how they can be used effectively with the 2.0 and 2.1 models.
  • ๐Ÿ“ˆ The speaker provides tips on how to adjust settings for different resolutions and samplers to achieve desired image results.
  • ๐Ÿ’ผ A guide on how to use custom models in the new notebook is also shared, along with a link to a hugging face page for the 2.1 model.
  • ๐ŸŽฅ The speaker plans to release weekly prompts for both versions (1.5 and 2.1) on their Patreon and YouTube channels.

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 caused compatibility issues with previous versions of the notebook, rendering them non-functional.

  • 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 requirements of the 2.0 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 inability to generate portraits and handling artist modifiers better.

  • 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.

  • What is the process for using the 2.0 model in The Notebook?

    -To use the 2.0 model in The Notebook, one needs to select the 512 base EMA, change the model to V2 inference, and run the notebook.

  • What are the advantages of using a Pro Plus account for the 2.0 model?

    -A Pro Plus account provides extra memory, allowing for the use of the 2.0 model, and it only uses a minimal amount of additional credits compared to the standard memory.

  • How does the video creator use prompts for the 2.0 model?

    -The video creator first makes the prompts in 1.5 using the clip interrogator and then switches them over to the 2.1 model, making necessary modifications.

  • What are the different Samplers mentioned in the video?

    -The different Samplers mentioned are Euler, DPM 2sa, and an ancestral-based sampler, each offering a unique style and level of realism for the generated images.

  • How does the video script address the issue of high-resolution images with the 2.0 model?

    -The script demonstrates that the 2.0 model can handle high-resolution images, although it may take longer to render and the composition might not be as sharp.

  • What is the video creator's perspective on the 2.0 and 1.5 models?

    -The video creator views the 2.0 and 1.5 models as different tools in the toolbox, each with its own strengths and suitable for different types of images and artistic styles.

Outlines

00:00

๐Ÿ“š Introduction to New Deformed Diffusion Models

The paragraph discusses the release of a new version of deformed diffusion for stable diffusion, which introduces support for 2.0. The speaker explains that while the update breaks previous notebook versions, a fresh copy of the new notebook is provided in the video. A disclaimer is issued, noting that to use the 2.0 model, one requires either Google Collab Pro or Pro Plus due to the increased memory demands. The speaker also mentions the 2.1 model, which has improved upon the 2.0 by fixing issues with portrait generation and other features. The paragraph ends with a brief mention of sharing prompts on the speaker's YouTube channel.

05:01

๐Ÿ”„ Downloading and Using the New 2.1 Model

This section provides instructions on downloading and using the 2.1 model, which the speaker prefers over the 2.0 model. The speaker guides the viewer through the process of uploading the 2.1 model to their drive and using it in the notebook by selecting the custom model option. The speaker emphasizes the need to upload the model before running the notebook if using the 2.1 version. The paragraph also touches on the speaker's experience with the 2.0 and 2.1 models, noting that while the 2.0 model is different from 1.5, it is not necessarily better, just different. The speaker shares their method of creating prompts in 1.5 and then converting them for use with the 2.1 model using a clip interrogator.

10:03

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

The speaker demonstrates the use of various prompts and samplers with the new 2.1 model. They show how different samplers can affect the realism and artistic style of the generated images, and discuss the trade-off between image quality and rendering speed. The speaker also shares their personal preferences for certain samplers and the types of images they produce. The paragraph includes a live demonstration of generating images using different prompts and samplers, highlighting the versatility of the 2.1 model in creating both realistic and artistic outputs.

15:04

๐ŸŽจ Comparing 2.0 and 1.5 Models in Image Generation

The speaker compares the 2.0 and 1.5 models, noting that while the 2.0 model excels at rendering clean images, the 1.5 model is preferred for certain types of scenes. The speaker emphasizes that both models have their uses and are like different tools in a toolbox. They demonstrate how the 2.0 model can still produce artistic images, despite its focus on realism. The speaker also discusses the importance of using appropriate prompts and samplers to achieve desired results with the 2.0 model.

20:04

๐Ÿš€ Testing High-Resolution Image Generation

The speaker tests the 2.0 model's capability to handle high-resolution image generation, pushing the limits by attempting a 1024 by 768 image. They discuss the impact of resolution on rendering time and cost, and demonstrate that the model can handle such large resolutions without crashing. The speaker also shares their excitement about the model's ability to render widescreen images and their plans to create more videos in this format. The paragraph concludes with the speaker's intention to continue experimenting with different prompts and models.

25:05

๐Ÿ“ Conclusion and Future Plans

In the concluding paragraph, the speaker wraps up the demonstration by summarizing the key points discussed in the video. They reiterate the process of using the new 2.0 and 2.1 models, the importance of selecting the right prompts and samplers, and the flexibility of these models in image generation. The speaker also mentions their plans to release weekly prompts for their YouTube channel members and the general public, and encourages viewers to explore the new models and create their own content.

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 an AI system that creates or modifies images. In the video, the speaker discusses a new version of Deformed Diffusion for Stable Diffusion, indicating an update or improvement to the existing model.

๐Ÿ’กStable Diffusion

Stable Diffusion is a type of AI model used for generating images or graphics. It is a term used in the field of machine learning and artificial intelligence, particularly in the context of deep learning. The speaker is discussing updates to this model and its implications for users.

๐Ÿ’กGoogle Colab Pro

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

๐Ÿ’กNot Safe For Work (NSFW) Filters

Not Safe For Work (NSFW) filters are content filters that are used to block or hide adult or explicit content from being displayed in professional or public settings. In the context of the video, the speaker mentions that the new 2.0 model of Deformed Diffusion has removed these filters, impacting the types of images that can be generated.

๐Ÿ’ก2.1 Model

The 2.1 model refers to an updated or improved version of the 2.0 model in the context of AI-generated images. This updated model addresses some of the limitations found in the 2.0 model, such as the ability to generate portraits and other images that were previously restricted.

๐Ÿ’กPrompts

In the context of AI-generated images, prompts are the input text or descriptions that guide the AI in creating a specific image. They are essential for directing the AI to produce desired outputs based on the user's requirements.

๐Ÿ’กEuler and DPM2Sa

Euler and DPM2Sa are different types of 'samplers' or algorithms used in the AI image generation process to determine the final output based on the input prompt. Each sampler has its unique characteristics and can produce varying levels of realism or artistic style in the generated images.

๐Ÿ’กResolution

Resolution in the context of digital images refers to the dimensions (width and height) of the image in pixels. Higher resolution images have more pixels and thus can display more detail and complexity.

๐Ÿ’กCredit System

The credit system refers to the billing or pricing mechanism used by cloud-based platforms like Google Colab, where computational resources are allocated based on the amount of processing power, memory, and time used. Credits are a form of currency within these platforms that users spend to access these resources.

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. It is often used to create a more immersive or cinematic viewing experience.

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 content or to better suit a user's preferences.

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 2.0 model has removed certain filters, impacting the generation of some types of images.

An improved 2.1 model is available, which addresses some of the limitations of the 2.0 model, including portrait generation.

The presenter shares their experience with the 2.0 and 2.1 models, comparing their capabilities and recommending the 2.1 for certain tasks.

A step-by-step guide is provided for users to update their notebooks and utilize the new 2.0 and 2.1 models.

The presenter discusses the importance of using appropriate prompts when working with the 2.0 and 2.1 models.

The video includes a demonstration of how to use custom models with the new notebook, including the 2.1 model.

The presenter shares their process for creating prompts, including the use of a clip interrogator to transition from 1.5 to 2.1 models.

The 2.0 model is praised for its ability to generate cleaner and more realistic images.

The presenter provides tips on how to adjust settings, such as resolution and steps, for optimal image quality.

The video showcases various samplers and their impact on the style and quality of the generated images.

The presenter emphasizes the flexibility of the 2.0 and 2.1 models, highlighting their use in creating both realistic and artistic images.

The video includes a discussion on the credit system and how to efficiently use Google Collab Pro Plus for running the models.

The presenter demonstrates the ability to handle high-resolution images with the 2.0 and 2.1 models, including a successful test at 1024 by 768.

The video concludes with a prompt specifically designed for creating an 80s retro racing game aesthetic.

The presenter encourages viewers to experiment with the new models and provides resources for further learning and application.