BEST & FREE AI Generators for Anime - Make Professional Anime Art

AI Tools Search
1 Aug 202336:05

TLDRThe video script offers a comprehensive guide to the best free AI image generators for creating anime-style images. The creator tests over 180 platforms, highlighting Sea Art, Yo Dial, Tensor, Happy Accidents, Starry AI, and Automatic 1111. Each tool is evaluated based on quality, ease of use, and customization options. The tutorial walks viewers through the process of generating images, including setting up accounts, selecting models, inputting prompts, and adjusting parameters for optimal results. The video also touches on upscaling images and the potential for unlimited image generation with certain tools, providing a valuable resource for those interested in anime art creation.

Takeaways

  • ๐ŸŽจ The video provides a comprehensive review of the best free AI image generators for creating anime-style images.
  • ๐Ÿ” The reviewer tested over 180 AI image generators and selected the top ones for quality and ease of use.
  • ๐ŸŒŸ The platforms featured include Sea Art, CR, Tensor, Happy Accidents, Starry AI, and Automatic 1111, each with unique features and capabilities.
  • ๐Ÿ“ธ Sea Art AI uses stable diffusion models to generate high-quality images, with 200 stamina points given per day for free usage.
  • ๐ŸŽญ CR offers a simple interface for generating anime images with a variety of models and spells (predefined characters) to enhance the images.
  • ๐Ÿš€ Tensor is highlighted for its completely free usage with no limits, though it allows generating only one image at a time.
  • ๐ŸŽ‰ Happy Accidents provides a range of models and allows upscaling of images, but has a limit on the number of free image generations per month.
  • ๐ŸŒ Starry AI is praised for its simplicity, offering a basic structure for image generation without advanced settings, and provides a daily credit system for usage.
  • ๐Ÿ› ๏ธ Automatic 1111 is the most advanced and customizable platform, being open-source and allowing unlimited image generation, though it has a steeper learning curve.
  • ๐Ÿ’ก The video emphasizes the importance of understanding advanced settings like sampling method, guidance scale, and image upscale options for better image generation.
  • ๐Ÿ“ The reviewer suggests exploring the website ai-search.io for a complete list of AI tools available for various purposes.
  • ๐ŸŽ The video serves as a valuable resource for those interested in utilizing AI for anime image generation, providing insights into different platforms and their functionalities.

Q & A

  • What was the main objective of the AI image generator test conducted in the transcript?

    -The main objective was to identify the best and free AI image generators capable of producing high-quality anime images.

  • How many AI image generators were tested in the video?

    -Over 180 AI image generators were tested.

  • What was the standard prompt used for comparison across the platforms?

    -The standard prompt was 'one girl with short black hair, blue eyes, wearing a plain white shirt and denim shorts'.

  • What is the significance of the negative prompt in the AI image generation process?

    -The negative prompt is used to exclude undesirable elements from the generated image, such as weird fingers, low quality, and watermarks.

  • What is the first tool introduced in the transcript for generating anime images?

    -The first tool introduced is called 'Sea Art dot AI'.

  • How does the model or checkpoint work in AI image generation?

    -A model or checkpoint is an AI trained on thousands to millions of images of a certain style, which determines the style of the output image.

  • What is the purpose of the 'Laura' in the context of AI image generation?

    -A 'Laura' is a micro version of a model that supplements the base model, allowing for additional specific elements or styles to be incorporated into the generated image.

  • What is the recommended 'sampling method' for generating high-quality anime images?

    -For anime images, the recommended sampling methods are DPM plus, 2sa Keras, or sde Keras.

  • What is the 'CFG scale' or 'guidance' setting in AI image generation?

    -The CFG scale or guidance setting determines how closely the AI follows the input prompt, with higher values leading to more literal interpretations and lower values introducing more randomness.

  • How can the image generated by AI image generators be upscaled?

    -Images can be upscaled by selecting an upscaler algorithm and specifying the desired scaling ratio to increase the image size and detail.

  • What is the main advantage of using 'Automatic 1111' for AI image generation?

    -Automatic 1111 is completely free, open source, and highly customizable, allowing users to generate unlimited images with extensive settings for advanced users.

Outlines

00:00

๐ŸŽจ Introduction to AI Image Generators

The paragraph introduces the author's extensive testing of over 180 AI image generators to identify the best and free ones for creating anime-style images. It explains the methodology of using a consistent prompt across platforms for an accurate comparison and outlines the criteria for exclusion, such as low-quality images and copyright issues. The first tool introduced, Sea Art AI, is highlighted for its use of stable diffusion models to generate high-quality images without cost, including a brief tutorial on its usage, settings, and capabilities, such as the green mode for content filtering and the stamina system for daily usage limits.

05:01

๐Ÿ“ธ Exploring Advanced Settings in AI Image Generation

This paragraph delves into the advanced settings of AI image generation tools, using Sea Art AI as an example. It explains the importance of understanding these settings to effectively generate desired images. The explanation includes details on the sampling method, which refers to the algorithm used for image generation, and sampling steps, which affect the level of detail in the image. The concept of CFG scale or guidance is introduced, discussing its impact on how closely the AI follows the prompt. The paragraph emphasizes the importance of balancing these settings to avoid overly literal or random outcomes.

10:01

๐Ÿ–Œ๏ธ Simplified AI Art Creation with Yo Dail

The paragraph presents Yo Dail as a simplified alternative for creating AI art, suitable for those who find the previous tool too complex. It outlines the process of creating an artwork, including the use of beans as the currency for image generation, with a generous amount provided daily. The user is walked through selecting a model, entering prompts, and adjusting settings like sampling method and steps. The paragraph also mentions additional features like control net for pose control and image-to-image functionality for creating variations based on existing images.

15:03

๐ŸŽฎ Interactive AI Art with TensorPlay

TensorPlay is introduced as a tool that allows for interactive AI art creation without limits, as there are no restrictions on usage. The author guides the user through the process of selecting a model, entering prompts, and adjusting settings for image generation. The paragraph discusses the trade-off of generating one image at a time in exchange for unlimited usage and the absence of a premium plan. It also touches on the importance of the sampling method and steps in refining the image quality.

20:04

๐ŸŒŸ Happy Accidents: AI Art with a Limit

The paragraph introduces Happy Accidents, an AI art tool with a monthly limit on free image generations. It explains the process of selecting a model, refining prompts with positive and negative prompts, and adjusting settings like image dimensions and inference steps. The author notes the platform's simplicity and the option to upscale images for higher quality. The paragraph also mentions the availability of paid plans for users requiring more generations per month.

25:05

๐ŸŒŒ Easy Anime Image Creation with Starry AI

Starry AI is presented as the simplest tool for creating anime images with minimal settings to tweak. The author explains the process of generating images using a simple prompt, selecting a style, and adjusting the runtime for image quality. The paragraph highlights the limitations of not being able to adjust guidance or CFG scale but emphasizes the ease of use and the ability to upscale images for better quality.

30:06

๐Ÿš€ Advanced Image Generation with Automatic 1111

The paragraph discusses Automatic 1111 as a complex but highly customizable tool for advanced image generation. It outlines the process of selecting a checkpoint or model, using Google Collab for online usage, and adjusting settings like sampling method and steps. The author provides a brief tutorial on using the interface for text-to-image generation, image-to-image guidance, and upscaling images for higher quality. The paragraph concludes by encouraging users to explore the extensive settings and features of Automatic 1111 for advanced image generation.

35:07

๐Ÿ“š Conclusion and Resources for AI Tools

The final paragraph concludes the video script by summarizing the best AI image generators for anime and providing a resource for discovering more AI tools. It encourages users to visit the website ai-search.io for a comprehensive list of AI tools for various purposes, emphasizing the potential for further exploration and utilization of AI in art creation.

Mindmap

Keywords

๐Ÿ’กAI image generators

AI image generators are software tools that use artificial intelligence algorithms to create visual content based on user-provided prompts or descriptions. In the context of the video, the generators are being evaluated for their ability to produce high-quality anime-style images without requiring payment, and the best ones are being recommended for this purpose.

๐Ÿ’กStable diffusion models

Stable diffusion models refer to a type of AI model that uses a process called diffusion to generate images. This technique involves progressively adding noise to data and then slowly removing it to construct an image that fits the input prompt. In the video, it is mentioned that Sea Art uses stable diffusion models to create high-quality images, indicating the effectiveness of this technology in AI-generated art.

๐Ÿ’กPrompt

In the context of AI image generation, a prompt is a description or a set of parameters provided by the user to guide the AI in creating an image. It often includes details about the subject, style, and specific characteristics that the user wants to see in the generated image. The video uses a standard prompt across different platforms to compare their output and determine which generator produces the best results.

๐Ÿ’กNegative prompt

A negative prompt is a set of instructions given to an AI image generator to explicitly exclude certain elements or characteristics from the generated image. This is used to avoid common issues such as weird fingers, low quality, or unwanted content. In the video, the negative prompt is employed to ensure the AI focuses on the desired output without including undesirable features.

๐Ÿ’กStamina

In the context of the AI image generators discussed in the video, stamina refers to a form of in-app currency or limit on the number of images a user can generate within a certain period. It is a mechanism used by the platforms to regulate usage and potentially encourage users to sign up for premium services for more generation capacity.

๐Ÿ’กCheckpoint

A checkpoint in AI image generation is a term used to describe a point in the training process where the AI model's parameters are saved. These checkpoints are then used to continue training or to generate new images in the same style or with the same characteristics as the training data. In the video, the selection of a checkpoint determines the style of the generated image.

๐Ÿ’กSampling method

The sampling method in AI image generation refers to the algorithm used to interpret the input prompt and create the final image. Different sampling methods may produce varying levels of detail, quality, or style consistency. The choice of sampling method can significantly affect the outcome of the generated image.

๐Ÿ’กCFG scale

CFG scale, or Control Flow Guidance scale, is a parameter in AI image generation that determines the degree to which the AI adheres to the input prompt. A higher CFG scale means the AI will follow the prompt more closely, while a lower scale allows for more creative freedom and less literal interpretation of the prompt.

๐Ÿ’กUpscaling

Upscaling in the context of AI-generated images refers to the process of increasing the resolution or size of an image without losing quality or introducing artifacts. This is often done using specific algorithms that can intelligently fill in the additional pixels to maintain or enhance the image's details.

๐Ÿ’กImage to image

Image to image is a feature in AI image generation where a pre-existing image is used as a reference or guide for the AI to create a new image. This function allows users to reverse-engineer prompts based on an existing image or to incorporate elements from one image into the creation of another.

Highlights

The AI image generators tested for quality and ease of use.

The selection process involved using the same prompt for each platform to ensure a fair comparison.

The negative prompt was used to exclude undesirable features such as weird fingers or low quality.

Sea Art AI was highlighted for its use of stable diffusion models and free online access.

The tutorial provided a walkthrough of how to use Sea Art AI, including adjusting settings and generating images.

The importance of understanding advanced settings like sampling method and CFG scale for high-quality image generation was emphasized.

The ability to upscale images and the different algorithms available for this purpose were discussed.

Control net feature in Sea Art AI allows control over the pose of the character.

Image to image functionality was explained, which can reverse engineer a prompt from an existing image.

Yo DIAL was introduced as a simple and easy tool for generating anime images with a straightforward UI.

TensorPlay was noted for being completely free with no apparent limits on usage.

Happy Accidents was mentioned for its model selection and the ability to refine images with additional prompts.

Starry AI was highlighted for its simplicity and the option to upscale images with credits.

Automatic 1111 was introduced as the most customizable and powerful tool for image generation, albeit with a steeper learning curve.

The process of finding and using models on Civitai for Automatic 1111 was explained.

Google Collab was used to run Automatic 1111 without the need for a local GPU.

The tutorial covered various features of Automatic 1111, including text to image, image to image, and upscaling.

The potential for future tutorials on all the settings in Automatic 1111 was mentioned.

AI-search.io was promoted as a resource for discovering more AI tools.