BEST & FREE AI Generators for Anime - Make Professional Anime Art
TLDRThe video script offers a comprehensive guide to the best free AI image generators for creating anime-style images. It details the testing of over 180 platforms, highlighting the top choices that produce high-quality results. The tutorial walks viewers through the process of using each platform, including setting up accounts, selecting models, and adjusting parameters for image generation. It also covers advanced settings like sampling methods and guidance scales, and introduces additional features such as image upscaling and importing existing images to refine outputs. The video is a valuable resource for those interested in exploring AI art generation without financial constraints.
Takeaways
- ๐จ The video provides a comprehensive review of the best AI image generators for creating anime-style images, highlighting both free and high-quality options.
- ๐ The reviewer tested over 180 AI image generators and selected the top ones based on their ability to produce high-quality images without charging money.
- ๐ A standard prompt of 'one girl with short black hair, blue eyes, wearing a plain white shirt and denim shorts' is used for an apples-to-apples comparison across platforms.
- ๐ซ The negative prompt excludes undesirable features like weird fingers, hands, low quality, watermarks, and copyright issues.
- ๐ Sea Art dot AI is introduced as a powerful tool using stable diffusion models to generate high-quality images for free, with 200 stamina points per day for regular images.
- ๐จ Users can refine their images by choosing different models or checkpoints, which are AI trained on specific styles, and by adjusting advanced settings like sampling method, steps, and CFG scale.
- ๐ธ The video also demonstrates how to upscale images using specific algorithms in Sea Art, enhancing the details and resolution of the generated images.
- ๐ง Another tool mentioned is Yo Dial, which is praised for its simplicity and ease of use, allowing users to generate anime images without tweaking complex settings.
- ๐ฎ Tensor Play is highlighted as a completely free tool with no limits, although it only allows generating one image at a time and lacks some features like upscaling.
- ๐ก Happy Accidents is presented as a platform with a free plan offering 100 image generations per month, and it allows users to refine their prompts with negative prompts and choose from various models.
- ๐ ๏ธ Automatic 1111 is introduced as the most customizable and powerful tool for serious image generation enthusiasts, which is free and open source, but also the most complex to learn.
Q & A
How many AI image generators were tested in the video?
-The video mentions that over 180 AI image generators were tested.
What was the common prompt used for comparison across the platforms?
-The common prompt used was 'one girl with short black hair, blue eyes, wearing a plain white shirt and denim shorts'.
What is the first tool introduced in the video for generating anime images?
-The first tool introduced is called 'Sea Art dot AI'.
What type of models does Sea Art dot AI use to generate images?
-Sea Art dot AI uses stable diffusion models to generate high-quality images.
How much stamina is provided daily on Sea Art dot AI and what does it consume for a regular image?
-Sea Art dot AI provides 200 stamina per day, and a regular image consumes one stamina.
What is the purpose of the 'Laura' in the context of the AI models discussed?
-A 'Laura' is a micro version of a model that supplements the base model, allowing for more specific details in the generated images.
What is the basic premise of the negative prompt in image generation?
-The negative prompt is used to exclude certain elements from the generated image, such as 'ugly faces' or 'low-quality images'.
What is the recommended 'sampling method' for generating anime images according to the video?
-For anime images, the video recommends using 'DPM plus plus 2sa' or '2m Keras' as the sampling method.
What is the 'CFG scale' or 'guidance' setting in image generation?
-The CFG scale or guidance setting determines how closely the AI follows the prompt; a higher value makes the image more literal to the prompt, while a lower value introduces more randomness.
How does the 'image to image' function work in the video's discussed tools?
-The 'image to image' function allows users to create a new image based on a previously generated one, with the ability to adjust how closely the new image follows the original.
What is the main advantage of using Automatic 1111 for image generation according to the video?
-Automatic 1111 offers the most customization options and is completely free and open source, allowing for unlimited image generation with no limitations or paid plans.
Outlines
๐จ Overview of AI Image Generators for Anime
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. The author emphasizes the importance of high-quality results and warns against generators that charge money or produce low-quality images. A standardized prompt is used across platforms for a fair comparison, and the focus is on simplicity for the tutorial, with the potential for refinement in the future. The negative prompt excludes undesirable features such as weird fingers, hands, low quality, and watermarks. The introduction of the first tool, Sea Art dot AI, is highlighted for its use of stable diffusion models and its free online usage, including a warning about potential adult content and instructions on how to use the platform effectively.
๐๏ธ In-Depth Look at Sea Art dot AI
This paragraph delves into the specifics of using Sea Art dot AI, a tool that leverages stable diffusion models to generate high-quality images. The author guides the viewer through the process of signing up for an account and navigating the platform, including how to avoid adult content with the green mode feature. The daily stamina limit and the cost of image generation are explained, along with a detailed walkthrough of the image generation process, including the dashboard, prompt input, and settings adjustments. The paragraph also introduces the concept of models or checkpoints, which are AI trained on specific styles, and the option to add micro models known as 'Laura' for further customization. Advanced settings such as negative prompt, sampling method, sampling steps, and CFG scale are discussed, with recommendations for optimal values.
๐ Exploring Other AI Artwork Generators
The paragraph discusses other AI artwork generators, starting with a tool that is noted for its simplicity and effectiveness in creating high-quality anime images. The author explains the process of creating an account and generating images with a straightforward interface. The use of 'beans' as the currency for image generation is mentioned, along with the daily free allowance and options for model selection. The paragraph also covers additional features such as control net for pose control and image-to-image functionality, which allows for the creation of new images based on previously generated ones. The tool's simplicity and the ability to upscale images are emphasized, making it suitable for users who prefer a more intuitive experience.
๐ Detailed Explanation of Tensor and Tensor Play
This paragraph focuses on Tensor, a tool noted for being completely free with no usage limits. The author guides the viewer through the process of signing up and generating images, highlighting the tool's features such as model selection, prompt input, and negative prompts. The paragraph explains the sampling method and the importance of sampling steps in refining the image quality. It also touches on the guidance setting, which dictates how closely the AI follows the prompt. The author shares their experience of generating multiple images and the limitations of the tool, such as the inability to upscale images or use the image-to-image function at the time of the tutorial.
๐ Introduction to Happy Accidents and Starry AI
The paragraph introduces two more AI image generation platforms: Happy Accidents and Starry AI. The author explains the process of signing up and generating images, with a focus on the selection of models and the input of prompts. The Happy Accidents platform is noted for its paid plan options and the ability to upscale images, while Starry AI is highlighted for its simplicity and limited daily credits. The author provides a brief overview of the settings and options available on each platform, including the style selection, canvas size, and runtime adjustments. The paragraph emphasizes the ease of use and the quality of the generated images, despite some limitations in customization.
๐ Advanced Usage with Automatic 1111 and Google Colab
The paragraph discusses the use of Automatic 1111, a more advanced and customizable platform for image generation. The author explains how to access the platform using Google Colab and provides a step-by-step guide on selecting a model, setting up the interface, and generating images. The paragraph covers various settings such as the sampling method, sampling steps, image dimensions, and batch count. It also introduces the image-to-image feature and the upscaling options available on Automatic 1111. The author notes the complexity of the platform but acknowledges its potential for high-quality and customizable image generation. The paragraph concludes with a brief mention of the author's willingness to create a more detailed tutorial on Automatic 1111 if requested by the audience.
๐ Conclusion and Resources for AI Tools
The final paragraph wraps up the tutorial by summarizing the best AI image generators for anime discussed in the video script. The author encourages the audience to explore more AI tools through their website, ai-search.io, which offers a comprehensive list of AI tools for various purposes. The paragraph serves as a conclusion, highlighting the range of options available for users interested in AI-generated anime images and providing a resource for further discovery.
Mindmap
Keywords
๐กAI image generators
๐กStable diffusion models
๐กPrompt
๐กNegative prompt
๐กStamina
๐กCheckpoint
๐กSampling method
๐กCFG scale
๐กUpscaling
๐กImage to image
Highlights
The AI image generators tested over 180 different platforms to identify the best free options for creating anime-style images.
A standard prompt was used across platforms for an 'apples to apples' comparison, describing a girl with specific features and clothing.
The negative prompt included common exclusions such as weird fingers, hands, low quality, and watermarks.
Sea Art AI was introduced as the first tool, using stable diffusion models to generate high-quality images for free online.
The platform provides 200 stamina per day, with different image types consuming different amounts of stamina.
Various models or checkpoints were discussed, which are AI trained on specific styles, influencing the output images.
The tutorial covered advanced settings like image quantity, quality, size, and negative prompt for more refined image generation.
Sampling method and steps were explained, detailing how they affect the image generation process.
CFG scale or guidance settings were discussed, determining how closely the AI follows the prompt.
The process of upscaling images for increased detail and clarity was demonstrated using the Sea Art AI platform.
Additional functions like control net for pose control and image to image functionality were mentioned for further customization.
The second tool, Artbreeder, was introduced with a simpler interface and a generous free bean system for generating images.
Artbreeder allows users to choose from various models or checkpoints and includes the option to add predefined characters called 'spells'.
TensorPlay was highlighted as a completely free tool with no limits, though it allows generating only one image at a time.
Happy Accidents was presented as a paid platform with a free tier offering a limited number of image generations per month.
Starry AI was described as the simplest tool for users who want to generate images with minimal settings adjustments.
Automatic 1111 was introduced as the most advanced and customizable platform for stable diffusion, suitable for users serious about image generation.
The tutorial mentioned the use of Google Collab for running Automatic 1111 without the need for a local GPU, making it accessible for more users.
Various features of Automatic 1111 such as text to image, image to image, and upscaling were briefly explained to showcase its capabilities.