Introduction to Tensor.art

TensorArt is introduced as a free alternative to Midjourney for AI art generation, offering 100 daily credits that refresh but don't roll over. The platform is based on stable diffusion and provides various checkpoints and models for users to generate images. The video demonstrates how to use TensorArt by selecting checkpoints and models, adjusting settings like sampling method, steps, and CFG scale, and using features like the upscaler and detailer. It also covers creating art from scratch, remixing existing images, and using the image-to-image option. The process involves trial and error, with tips to maximize daily credits and create better AI art by understanding the models and settings.

Takeaways

• 🎨 TensorArt is a free alternative to Midjourney that offers 100 daily credits for image generation, which refresh daily but do not roll over.
• 🖼️ The platform is based on stable diffusion and provides various checkpoints and models for users to generate images.
• 🔍 Users can select checkpoints and Luras (fine-tuning options) to customize the style of the generated artwork.
• 🌐 The main page displays available Luras and models, but users may need to scroll down to find filters and customization options.
• 🔄 The 'Remix' button allows users to copy parameters and settings from existing images to create similar artworks.
• 🛠️ For beginners, understanding checkpoints, Luras, and negative prompts is crucial for generating quality images.
• 📏 The aspect ratio and sampling method can be adjusted to control the size and quality of the generated image.
• ⚙️ The CFG scale determines how closely the AI adheres to the provided prompts, with higher values resulting in closer adherence.
• 🔢 The seed number can be specified for consistent results or left random for varied outputs.
• 📈 Advanced settings like CLIP skip, high-res fix, and detailer models can further refine the image generation process.
• 🚀 Users can generate images from scratch, remix existing ones, or use the image-to-image option for more creative control.
• 🌟 Control nets like Kenny and Open Pose can be used for more advanced image manipulation, but may have limitations depending on the model.

Q & A

What is Tensor Art and how does it differ from Midjourney?

Tensor Art is a free alternative to Midjourney, which is an AI image generation platform. It is based on stable diffusion, unlike Midjourney, and offers a free daily credit of 100, which refreshes daily but does not roll over if unused.

How can users maximize the use of free credits provided by Tensor Art?

To maximize the use of free credits, users should visit the Tensor Art site regularly to refresh their daily credit of 100, ensuring they do not miss out on the opportunity to generate images without additional cost.

What are checkpoints and Luras in the context of Tensor Art?

Checkpoints in Tensor Art are models that users can select to generate images in a particular style. Luras are fine-tuning elements that work in conjunction with the selected checkpoint to refine the generated image further.

How does the user navigate the main page of Tensor Art to find models and Luras?

On the main page, users can see available Luras and models. However, to find a comprehensive list, they may need to scroll down to find the 'filters' option, where they can select a checkpoint or Lura to generate a specific style of image.

What is the purpose of the 'remix' button in Tensor Art?

The 'remix' button in Tensor Art allows users to copy all the parameters and settings used to create a particular image, including prompts and negative prompts. This feature enables users to experiment with different styles and settings based on existing artworks.

How does the negative prompt function in stable diffusion models like Tensor Art?

Negative prompts guide the AI to avoid generating certain elements or features that might not align with the user's desired outcome. They help refine the image generation process by instructing the AI on what to omit.

What is the significance of the aspect ratio in image generation?

The aspect ratio determines the shape and dimensions of the generated image. Users can choose from preset ratios like square (1:1), landscape (2:3), or portrait (3:2), or they can customize the ratio to suit their specific needs.

What are the common sampling methods used in Tensor Art?

The common sampling methods in Tensor Art include Euler, DPM++ 2M, and Karras. These methods dictate how the AI uses the algorithm to generate the image, with each method offering different levels of detail and quality.

How does the CFG scale in Tensor Art affect the generated image?

The CFG scale determines how closely the AI will try to generate an image based on the provided prompts. A higher CFG scale value means the AI will attempt to create an image that closely matches the prompt, while a lower value gives the AI more freedom to add its own elements and style.

What are the limitations of the free model in Tensor Art?

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How can users save their generated images from Tensor Art?

Once a user is satisfied with the generated image, they can right-click on it and select 'Save Image As' to download the image to their desired location.

Outlines

00:00

🎨 Introduction to Tensor Art: A Free Alternative to Midjourney

The video introduces Tensor Art as a free alternative to Midjourney for AI-generated art. It emphasizes the daily refresh of 100 credits, the importance of visiting the site regularly to maximize the use of free credits, and the platform's reliance on stable diffusion technology. The speaker explains the process of selecting checkpoints and models, the role of Luras in fine-tuning images, and the exploration of user-generated samples for inspiration. The video also provides a brief guide on how to use the platform's interface, including the filters, workspace, and the process of remixing existing artwork.

05:01

🛠️ Understanding Stable Diffusion and Image Generation Settings

This paragraph delves into the specifics of using Tensor Art's stable diffusion models, including the selection of checkpoints and Luras for fine-tuning the generated images. It discusses the necessity of negative prompts to guide the AI and the various settings such as aspect ratio, sampling method, sampling steps, CFG scale, and the use of a random seed for variation. The paragraph also touches on advanced settings like CLIP skip, high-res fix, and the use of detailers to improve the quality of specific parts of the generated images.

10:02

🌐 Creating Art from Scratch and Exploring Different Models

The speaker demonstrates how to create AI art from scratch by selecting a basic model and adjusting settings such as the prompt, negative prompt, and image dimensions. They also discuss the limitations when using a free model and the iterative process of generating images to achieve the desired outcome. The paragraph highlights the importance of experimenting with different models to find the best match for the desired art style, even when faced with constraints like the inability to use certain features in the free version.

15:03

🔄 Image to Image Generation and Exploring Variations

This section covers the image-to-image feature in Tensor Art, which allows users to provide a base image to guide the AI's generation process. The speaker discusses the creative freedom provided by adjusting the denoising strength and the option to generate multiple variations of an image. They also mention the limitations of the free model in terms of the number of images that can be generated at a time and the exploration of different models to achieve a desired look and feel in the generated art.

20:04

🎭 Using Control Nets for Advanced Image Manipulation

The paragraph introduces control nets as a tool for further fine-tuning the look and feel of the generated images, including the angle and pose. The speaker explains the use of Kenny and Open Pose control nets to create images that closely resemble a provided pose or contour. They also discuss the limitations when using complex poses and the challenges AI faces in generating intricate details accurately. The video concludes with a reminder to utilize the daily credits provided by Tensor Art and to experiment with different settings and prompts to improve the quality of the generated art.

25:07

📈 Maximizing Daily Credits and Encouraging Experimentation

The final paragraph emphasizes the importance of making the most out of the daily 100 credits provided by Tensor Art. It encourages viewers to return daily to utilize their credits and to engage with the community through AI forums. The speaker reiterates the trial-and-error nature of AI art generation and the need for continuous experimentation to achieve satisfactory results. They conclude by expressing excitement to see the community's AI art creations and bid farewell until the next video.

Keywords

💡Tensor Art

Tensor Art is a free alternative to other AI image generation platforms like Midjourney. It is based on Stable Diffusion technology and offers users a daily credit of 100 to generate images. The platform is significant in the video as it is the main subject being discussed, with a focus on how to use it to create AI art.

💡Daily Credit

Daily Credit refers to the 100 credits that Tensor Art provides to users every day for free. These credits are refreshed daily and do not roll over, encouraging users to visit the site regularly to maximize the use of the provided credits. In the context of the video, it is a key incentive for users to engage with the platform.

💡Checkpoints

Checkpoints in the context of Tensor Art are different models or styles that users can select to generate images. They are crucial for determining the style of the AI-generated artwork. The video emphasizes the importance of choosing the right checkpoint to create an image that aligns with the user's vision.

💡Luras

Luras are additional fine-tuning elements that work in conjunction with the base model or checkpoint to customize the AI-generated image further. They are likened to fine-tuning adjustments that help refine the style and characteristics of the generated artwork, as explained in the video.

💡Workspace

The Workspace in Tensor Art is the area where users can start creating their images. It is an essential part of the platform where users can select checkpoints, apply luras, and input prompts to generate their desired AI art, as demonstrated in the video.

💡Prompts and Negative Prompts

Prompts are descriptions or instructions given to the AI to guide the generation of an image, while negative prompts are used to guide the AI to avoid certain elements or styles. They are vital in shaping the final output of the AI art, as discussed in the video where they are used to refine the image generation process.

💡Sampling Method

The Sampling Method refers to the algorithmic approach used by the AI to generate an image based on the provided parameters. Different methods like ULER or DPM++ 2M are mentioned in the video, which can affect the quality and detail of the generated image.

💡CFG Scale

CFG Scale determines how closely the AI will adhere to the provided prompts when generating an image. A higher CFG scale value means the AI will try to generate an image that closely matches the prompt, while a lower value gives the AI more creative freedom, as explained in the video.

💡Control Net

Control Net is a feature that allows for further fine-tuning of the generated image by providing additional guidance on aspects like pose and style. It is used to maintain certain elements from a base image or a desired look, as discussed in the video when attempting to apply a specific pose to the generated artwork.

💡Image-to-Image

Image-to-Image is a feature in Tensor Art that enables users to provide a base image as a reference for the AI to generate a new image. It is used to create variations or modifications of an existing image, as shown in the video where the presenter uses their own NFT as a base for generating new artwork.

💡AI Art Generation

AI Art Generation is the process of using artificial intelligence to create artwork. The video is centered around this concept, showcasing how Tensor Art can be used to generate unique and creative images through the combination of checkpoints, luras, prompts, and various platform features.

Highlights

Tensor Art is a free alternative to Midjourney with a daily credit of 100 for users.

Credits refresh daily but do not roll over, encouraging regular site visits.

The platform is based on Stable Diffusion, offering various models and checkpoints.

Users can select checkpoints and Luras to generate images with desired styles.

The workspace allows users to create images by choosing a base checkpoint or image model.

Remixing existing artwork allows users to modify parameters and settings for new creations.

Basic models or checkpoints are crucial for selecting an art style in Stable Diffusion.

Luras act as fine-tuning elements to adjust the image towards a preferred style.

Negative prompts guide the AI to avoid unwanted elements in the generated images.

The aspect ratio and sampling method can be adjusted for different image sizes and qualities.

Sampling steps influence the level of detail in the generated image.

The CFG scale determines how closely the AI adheres to the provided prompts.

The seat number can be specified for consistent style and angle in generated images.

Advanced settings like CLIP skip and high-res fix can enhance image quality.

Detailers can be used to improve specific parts of the image, like faces or hands.

The model confidence threshold ensures the generated image meets quality expectations.

Free model users can generate one image at a time, with potential limitations.

Creating images from scratch allows for unique artwork based on personal prompts and settings.

Image-to-image generation uses a base image to create variations with creative freedom.

Control nets like Kenny and Open Pose can further refine the look and feel of generated images.

AI art generation involves trial and error, with no one-click solution for perfect results.

Tensor Art provides daily credits, allowing users to practice and improve their AI art generation skills.