THIS is Crazy!!! Juggernaut XL Lightning in only 4 Steps - Automatic 1111

The video introduces the new Chuggernaut XL model, which integrates Lightning natively in Automatic 1111, eliminating the need for a Lightning Laura or specific sampling method. The presenter, Valdo, showcases various high-quality renderings produced by the model, including detailed portraits and atmospheric scenes, all generated in under 4 seconds on a 3080 TI. The video emphasizes the model's ability to create cinematic and artistic images with high detail, even in close-up portraits. The recommended settings for the Lightning version are discussed, highlighting the use of a specific sampler (DPM Plus+ sde) and a CFG scale of 1-2. The presenter also suggests keeping prompts concise and adding style words for better results. For upscaling, a 4X n mkd CX 200k upscaler is recommended, with settings detailed in the video. The video concludes with a call to action for viewers to experiment with the model and share their thoughts.

Takeaways

• 🚀 The new Chuggernaut XL model includes native support for Lightning in Automatic 1111, eliminating the need for a specific Lightning Laura or sampling method.
• 🎨 The model renders high-quality images with intricate details such as freckles and eyes in under 4 seconds on a 3080 TI.
• 🏞️ Architectural and landscape scenes are rendered with atmospheric colors and beautiful compositions, showcasing the model's artistic capabilities.
• 🤩 Close-up portraits are particularly impressive, with high detail and a cinematic quality that resembles professional 3D renderings.
• 🐉 The model excels at rendering fantastical elements, such as a dragon with iridescent scales, demonstrating its ability to handle complex textures and details.
• 📈 For the best results, the recommended settings include using the DPM Plus+ sde sampler with 4 to 6 steps and a CFG scale between 1 and 2.
• 🖌 It's important to keep prompts short and include style words like '8K Masterpiece', 'raw photography', and 'cinematic light' to enhance image quality.
• 🚫 Start without a negative prompt and then add elements you wish to avoid in the image to refine the model's output.
• 📚 The website provides guidance on commercial licensing and suggests using the 4X n mkd CX 200k upscaler for the highest quality upscaling.
• 🔍 For standard settings, use 30 to 40 steps and a CFG scale of 3 to 7, which may require experimentation to achieve the best prompts.
• 💬 The presenter encourages viewers to experiment with prompts due to the model's sensitivity to input and to share their thoughts on the community-trained Lightning model.

Q & A

What is the new standard for SDXL mentioned in the title?

The new standard for SDXL mentioned is the Chuggernaut XL model that includes Lightning natively in automatic 1111, which does not require the Lightning Laura or any specific sampling method.

Who is credited with sending the new Chuggernaut XL model to the speaker?

Valdo is credited with sending the new Chuggernaut XL model to the speaker.

What is the approximate time it takes to render the details of the images shown in the video?

The details of the images are rendered in less than 4 seconds on a 3080 TI.

What is the recommended sampler for the Lightning version of the model?

The recommended sampler for the Lightning version is DPM Plus+ sde, which may look like a typo but works effectively.

What is the file size of the Chuggernaut XL model?

The file size of the Chuggernaut XL model is 6.62 GB.

What is the recommended CFG scale for the images shown in the video?

The recommended CFG scale for the images is between one and two, with the speaker using a value of two for all images.

What kind of style words are suggested to be added to the prompt for better image results?

The style words suggested to be added to the prompt include '8K Masterpiece', 'raw photography', 'professional photo', and 'cinematic light'.

What upscaler is suggested for the highest upscaling?

The suggested upscaler for the highest upscaling is the 4X n mkd CX 200k upscaler.

What are the recommended settings for the ultimate upscaler?

The recommended settings for the ultimate upscaler are two steps with D noise at 0.35 and then 1.5.

What advice is given for the standard settings of the model?

For standard settings, it is advised to use 30 to 40 steps and a CFG scale of 3 to 7.

What is the speaker's overall impression of the community trained Lightning model?

The speaker is very impressed with the community trained Lightning model, describing it as 'absolutely amazing' and having their 'mind blown'.

What is the speaker's advice for those who find the model hard to prompt?

The speaker advises doing some experimentation with the prompts due to the model being a bit hard to prompt for, but emphasizes that the short render times make this process manageable.

Outlines

00:00

🚀 Introducing the Chuggernaut XL with Native Lightning Support

This paragraph introduces the Chuggernaut XL model, highlighting its ability to natively support Lightning, eliminating the need for additional components like the Lightning Laura or specific sampling methods. The speaker expresses gratitude to Valdo for sharing the model and encourages followers on Twitter. A series of examples are presented, showcasing the model's capability to render intricate details such as freckles, eyes, and atmospheric colors within 4 seconds on a 3080 TI without upscaling. The paragraph emphasizes the model's efficiency and artistic quality, demonstrating its proficiency in creating high-quality, cinematic images, including close-up portraits, landscapes, and even fantastical subjects like dragons and aliens. The speaker provides practical advice on using the model, recommending specific settings like the sampler DPM Plus+ sde, CFG scale between one and two, and the use of style words to enhance image quality. Detailed instructions are given for achieving the best results with upscaling techniques, such as the 4X n mkd CX 200k upscaler.

05:02

📚 Tips and Encouragement for Experimentation with Chuggernaut XL

The second paragraph focuses on providing guidance for users to effectively utilize the Chuggernaut XL model. It acknowledges the model's complexity in prompting and encourages experimentation. The speaker suggests examining the images and prompts used to gain a better understanding of the model's capabilities. The paragraph also emphasizes the benefits of Lightning's short render times, making trial and error a feasible process. The speaker invites feedback in the comments and concludes the presentation with a call to action for likes and future engagement, leaving the audience with a sense of excitement and anticipation for further exploration of the model's potential.

Keywords

Juggernaut XL

Juggernaut XL refers to a new model or version of a software or technology being discussed in the video. It is likely a reference to a powerful or advanced tool, given the 'juggernaut' connotation of being unstoppable or very powerful. In the context of the video, it is a model that includes native support for 'lightning,' which could refer to a fast processing or rendering feature.

Lightning

In the context of this video, 'lightning' likely symbolizes a fast or high-speed feature of the Juggernaut XL model. It suggests that the technology can perform tasks very quickly, which is a significant selling point in the realm of software and technology where speed often correlates with efficiency and better user experience.

Automatic 1111

This term seems to be a specific version or setting within the Juggernaut XL model. It could be a version number or a code name for a particular configuration that offers automated features or processes. The '1111' might suggest a particular setting or a significant update within the software.

Upscaling

Upscaling in the context of this video refers to the process of enhancing the resolution or quality of an image or rendering. It is a common technique in graphics and image processing to improve the details and clarity of visuals. The video mentions that the images produced by the Juggernaut XL model are of high quality even without upscaling, which is a testament to the model's capabilities.

DPM Plus+ sde

This keyword appears to be a technical term related to the sampling method used by the Juggernaut XL model. It is mentioned as a sampler that works effectively with the model, suggesting it is a crucial component for the model's operation. The term might be a specific algorithm or setting within the software that contributes to its performance.

CFG scale

CFG scale likely refers to a configuration setting or a parameter that can be adjusted within the Juggernaut XL model to control the scale or intensity of certain features or processes. In the video, it is mentioned that a CFG scale between one and two is used, with two being the choice for all images demonstrated.

Prompt

In the context of this video, a 'prompt' is a set of instructions or a description given to the Juggernaut XL model to generate specific images or outcomes. The effectiveness of the model's performance is said to be influenced by how well the prompt is crafted, indicating the importance of clear and concise communication with the software.

Negative Prompt

A negative prompt is a type of instruction used in the software to specify what should be avoided or not included in the generated images. It is a way to refine the output of the model by indicating unwanted elements or characteristics. The video suggests starting without a negative prompt and then adding them as needed.

Cinematic

The term 'cinematic' in this video is used to describe the quality and style of the images produced by the Juggernaut XL model. It implies that the visuals have a professional, movie-like quality to them, which is often characterized by high production values, compelling narratives, and artistic composition.

Iridescent Scales

Iridescent scales are mentioned in the context of a dragon image generated by the model. Iridescence refers to the property of certain surfaces to reflect light in a way that changes hue according to the angle of view. The video emphasizes the amazing and detailed appearance of these scales, highlighting the model's ability to render complex and visually appealing textures.

Community Trained Models

This term refers to software models that have been developed or improved through the collective efforts of a community of users or developers. The video expresses appreciation for these models, suggesting that they offer high-quality results and are a product of collaborative innovation within a community of practitioners.

Highlights

Introduction of the new Chuggernaut XL model with native Lightning support in Automatic 1111.

No longer requires a specific sampling method or Lightning Laura.

Valdo, the sender of the model, is thanked and recommended to be followed on Twitter.

Renderings shown are unaltered, displaying natural details in under 4 seconds on a 3080 TI.

Multiple versions of a beautiful woman with freckles and expressive eyes are presented.

Architectural shot with atmospheric colors and lighting, showcasing the model's capabilities.

A Native American in a modern city scene with detailed feathers and boka in the background.

The model excels at close-up portraits with high detail and cinematic quality.

A dragon with iridescent scales is highlighted, demonstrating the model's ability to render intricate details.

Landscape scenes are rendered with stunning details, even without upscaling.

An alien portrait showcases the model's ability to handle complex subjects with beautiful lighting.

The Chuggernaut XL model is available for download, weighing in at 6.62 GB.

Commercial licensing can be arranged through the provided email address.

The recommended settings for the Lightning version include the DPM Plus+ sde sampler.

CFG scale between one and two is suggested, with a preference for two.

Short and stylized prompts with words like '8K Masterpiece' improve image quality.

A 4X n mkd CX 200k upscaler is recommended for the highest upscaling results.

Standard settings can also be used with 30 to 40 steps and a CFG scale of 3 to 7.

Experimentation with prompts is necessary due to the model's unique requirements.

The lightning short render times make experimentation feasible and efficient.

The presenter is impressed by the community-trained Lightning model and invites feedback in the comments.