I Tried 5 Free Text-to-Image AI Generators (Here's the best one)

Motion Graphics Trends
6 Aug 202306:55

TLDRIn this video, the host, Design Junkie, explores the realm of generative AI by testing five free text-to-image AI generators: Lexica, Tensor Art, Leonardo, PlaygroundAI, and ClipDrop. Using the same prompt 'glowing jellyfish and illuminated fish floating through a neon cyberpunk City,' the host evaluates how each platform interprets and visualizes the concept. The video showcases the user interfaces and customization options of each application, highlighting the differences in style and output quality. The results vary, with Leonardo and ClipDrop standing out for their adherence to the prompt and cinematic quality. The host concludes that while all applications use the same stable diffusion technology, they each offer unique styles and user experiences, with Playground, Leonardo, and ClipDrop being particularly adept at generating more cinematic images without the need for complex prompts.

Takeaways

  • ๐ŸŽจ The video is a case study on generative AI, specifically focusing on text-to-image generation using five different free platforms.
  • ๐Ÿ“ The same prompt 'glowing jellyfish and illuminated fish floating through a neon cyberpunk City' was used across all applications for a fair comparison.
  • ๐ŸŒ All five applications utilize the same stable diffusion model but may interpret and generate images differently.
  • ๐Ÿ” Lexica provided a simple interface, but the generated images didn't meet the creator's expectations, with the jellyfish resembling a spaceship.
  • ๐Ÿค– Tensor Art offered more complexity with various trained models, which influence the style of image generation.
  • ๐Ÿงฉ Leonardo featured a nice interface with different models for various styles, and the generated images closely followed the prompt with a cool aesthetic.
  • ๐ŸŽข Playground AI had a dramatic style, with options to filter the generated images for a more cinematic look.
  • ๐Ÿ“ˆ Clip Drop, developed by Stability AI, had a clean and simple design, and it produced images with a photographic treatment and depth of field.
  • ๐Ÿš€ The experiment aimed to help newbies understand how these tools work with a basic prompt without needing complex or lengthy descriptions.
  • ๐Ÿ“‰ Tensor Art's generated images were described as childish and not photographic, suggesting the need to try different models for better results.
  • ๐ŸŒŸ Clip Drop and Leonardo were highlighted as favorites for their ability to generate more cinematic images, while Playground also received praise for its dramatic style.
  • โœ‰๏ธ The video creator encourages viewers to share their experiences and opinions in the comments and promises more tool experiments in future videos.

Q & A

  • What is the main focus of the video?

    -The main focus of the video is to experiment with text-to-image generation using five different free AI websites and compare their outputs based on a simple prompt.

  • What is the prompt used for generating images in the video?

    -The prompt used is 'glowing jellyfish and illuminated fish floating through a neon cyberpunk City'.

  • How many images did Lexica generate with the given prompt?

    -Lexica generated four images with the given prompt.

  • What is the name of the latest stable diffusion model used for high-quality output in Tensor Art?

    -The latest stable diffusion model used for high-quality output in Tensor Art is 'sdxl'.

  • Which model in Leonardo is mentioned as giving good results?

    -Dreamshaper 7 is mentioned as a model that has given good results in Leonardo.

  • How many tokens does the free version of Leonardo provide for image creation?

    -The free version of Leonardo provides 150 tokens for image creation.

  • What is the special style inside Dreamshaper in Leonardo called?

    -The special style inside Dreamshaper in Leonardo is called 'Leonardo style'.

  • What filter was chosen in Playground AI for a better result?

    -The 'cinematic' filter was chosen in Playground AI for a better result.

  • What is the name of the tool developed by stability.ai that is mentioned in the video?

    -The tool developed by stability.ai mentioned in the video is called 'Clip Drop'.

  • What is the limitation of the free version of Clip Drop in terms of image generation per day?

    -The free version of Clip Drop has a limitation of 400 image generations per day.

  • Which website is considered the favorite of the presenter and why?

    -Clip Drop is considered the presenter's favorite because it generated more cinematic images without requiring long prompts and offered a photographic treatment with depth of field.

  • What is the presenter's opinion on Playground's style?

    -The presenter likes Playground's style, which is described as more dramatic, and appreciates the treatment of the water body or the neon street in the generated images.

Outlines

00:00

๐ŸŽจ Generative AI Text-to-Image Experiment

The video script introduces a case study on generative AI, focusing on text-to-image generation using five different platforms. The host, Design Junkie, plans to use the same prompt across all applications to compare their outputs. The prompt 'glowing jellyfish and illuminated fish floating through a neon cyberpunk City' is simple, aiming to test how well each platform understands and visualizes it. The platforms mentioned include Lexica, Tensor Art, Leonardo, Playground AI, and Clip Drop, all utilizing stable diffusion for image generation but potentially yielding different styles. The host discusses the interface and options of each platform, noting the unique features and models that influence the style of the generated images.

05:01

๐Ÿ“ˆ Review of Generated Images and Platform Performance

After generating images using the specified prompt on different platforms, the host reviews the results. Lexica produced images that did not meet expectations, with the jellyfish resembling spaceships. Tensor Art generated a single childish image, which was not photographic. Leonardo's output was praised for accurately following the prompt and featuring cool camera angles. Playground AI created dramatic and cinematic images, with a notable treatment of the water body and neon street. Clip Drop was highlighted for its photographic treatment and depth of field, giving the images a non-digital, photography-like appearance. The host concludes that Playground, Leonardo, and especially Clip Drop are capable of generating more cinematic images without the need for complex prompts, and invites viewers to share their experiences and opinions in the comments.

Mindmap

Keywords

๐Ÿ’กGenerative AI

Generative AI refers to the branch of artificial intelligence that can create new content such as text, images, music, and animations based on input prompts. In the video, the host is exploring this technology by testing various text-to-image AI generators, demonstrating how generative AI can interpret a simple prompt to create images.

๐Ÿ’กText-to-Image Generation

Text-to-image generation is a process where AI takes a textual description and transforms it into a visual representation. The video focuses on this technology by using the same prompt across different platforms to see how each interprets and visualizes the text.

๐Ÿ’กStable Diffusion

Stable Diffusion is a type of AI model used for generating images from text. It is mentioned that all five applications in the video use this model, but they may generate different images due to their unique interfaces and settings.

๐Ÿ’กPrompt

In the context of generative AI, a prompt is a text input that guides the AI in creating specific content. The video uses the prompt 'glowing jellyfish and illuminated fish floating through a neon cyberpunk City' to test the capabilities of each AI generator.

๐Ÿ’กNegative Prompt

A negative prompt is an additional input used to guide the AI to avoid including certain elements in the generated content. The script mentions the use of a simple prompt without a negative prompt to see the base capabilities of the AI.

๐Ÿ’กInterface

The interface in the context of the video refers to the user interface of the different AI applications being tested. It is important as it determines how user-friendly and accessible the AI tool is, with some interfaces being simpler and more intuitive than others.

๐Ÿ’กModel

In the context of AI image generation, a model refers to a specific set of algorithms or neural networks that are trained to produce a certain style or type of image. The video discusses choosing different models within the AI applications for varied outputs.

๐Ÿ’กSampling Steps

Sampling steps are a parameter within the AI generation process that determines the number of iterations the AI goes through to create an image. The video mentions adjusting this setting in one of the applications to improve the quality of the generated image.

๐Ÿ’กCinematic

Cinematic, in this context, refers to a style of image that has a dramatic or film-like quality. The video notes the use of a 'cinematic' filter in one of the applications to achieve a more visually appealing result.

๐Ÿ’กPhotographic

Photographic treatment in the video means the style or quality of the generated image that resembles a professional photograph rather than digital art. One of the AI applications is praised for its ability to produce images with a photographic look.

๐Ÿ’กTokens

Tokens in the context of the video are a form of in-app currency used to create a certain number of images. The free version of Leonardo allows for 150 tokens, which can be used to generate a set number of images.

Highlights

The video is a case study of generative AI, exploring text-to-image generation using five different free AI generators.

The same prompt 'glowing jellyfish and illuminated fish floating through a neon cyberpunk City' is used for all applications to test their understanding.

Lexica is the first application tested, offering a simple interface suitable for users of all ages.

Tensor Art provides more complex features, including a variety of trained models for different styles of image generation.

Leonardo offers a nice interface with featured models and recent creations, allowing users to experiment with different styles.

Playground AI has a unique design with tabs for different categories and a 'create' button for generating images.

Clip Drop, developed by Stability.ai, is favored for its simplicity and clean design.

All five applications use the same stable diffusion model but generate different styles of images.

Lexica's images did not meet expectations, with the jellyfish resembling spaceships.

Tensor Art generated only one image initially, but upon retrying, it produced childish images not resembling photography.

Leonardo's glowing jellyfish are well-scatterred with a nice city background, closely following the prompt.

Playground's images are dramatic and have a unique treatment of the water body or neon street.

Clip Drop's images have a photographic treatment with depth of field, resembling actual photography rather than digital art.

The video concludes that Playground, Leonardo, and Clip Drop can generate more cinematic images without the need for long prompts.

The experiment serves as a guide for beginners looking to use free text-to-image AI generators.

The video encourages viewers to share their experiences with these tools in the comments.

More free tool experiments are promised in future videos.