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 five free text-to-image AI generators to determine which one is the best. Using the same prompt 'glowing jellyfish and illuminated fish floating through a neon cyberpunk city,' the host tests each application's ability to interpret and generate images. The applications tested include Lexica, Tensor Art, Leonardo, Playground AI, and Clip Drop, all of which use stable diffusion for image generation but differ in their interfaces and options. The host notes that while Lexica's interface is simple, its images did not meet expectations. Tensor Art offers various models for different styles but produced childlike images. Leonardo followed the prompt well with a cool city background, and Playground AI provided dramatic and cinematic results. Clip Drop, developed by Stability AI, offered a simple and clean design with a photographic treatment that stood out. The host concludes that Playground, Leonardo, and especially Clip Drop are capable of generating more cinematic images without the need for complex prompts.

Takeaways

  • 🎨 The video discusses the use of generative AI for text-to-image generation, focusing on five different free platforms.
  • 🌐 The platforms mentioned use the same stable diffusion model but may generate different styles of images.
  • 📝 The common prompt used for testing is 'glowing jellyfish and illuminated fish floating through a neon cyberpunk City'.
  • 🚀 Lexica offers a simple interface, but the generated images did not fully meet the creator's expectations.
  • 🤖 Tensor Art provides more complex options and models, allowing for different styles of image generation.
  • 🧩 Leonardo has a user-friendly interface with various models for different styles, and it followed the prompt well.
  • 🎢 Playground AI offers a dramatic style and allows users to choose from different filters for image creation.
  • 📷 Clip Drop, developed by Stability AI, has a clean design and provided a photographic treatment with depth of field.
  • 🔍 The experiment showed that Playground, Leonardo, and Clip Drop can generate more cinematic images without complex prompts.
  • 🤔 The video suggests that different platforms may require different prompts or settings to achieve the desired image style.
  • ✅ The creator encourages viewers to share their experiences and promises more tool experiments in future videos.

Q & A

  • What is the main topic of the video?

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

  • 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'.

  • Which AI generators are discussed in the video?

    -The AI generators discussed are Lexica, Tensor Art, Leonardo, PlaygroundAI, and ClipDrop.

  • What is a trained model in the context of image generation?

    -A trained model refers to a specific style of image generation that has been developed through training to produce particular types of results.

  • What is the difference between the interfaces of Lexica and Tensor Art?

    -Lexica has a very simple interface that is easy to understand, while Tensor Art has a more complex interface with additional features like different trained models and a leaderboard.

  • What is the Stable Diffusion model?

    -The Stable Diffusion model is a type of generative AI model used for high-quality image output, which is chosen for Tensor Art in the video.

  • How many images did the Leonardo application generate with the given prompt?

    -The Leonardo application generated four images with the given prompt.

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

    -The special style inside the Dreamshaper model is called 'Leonardo style', which is a specific style of output for the generated images.

  • What is the limitation of the free version of PlaygroundAI in terms of image generation?

    -The free version of PlaygroundAI allows the creation of images using 150 tokens, with each image generation costing a certain number of tokens.

  • What is the author's favorite AI generator from the ones tested?

    -The author's favorite AI generator from the ones tested is ClipDrop, developed by Stability.AI.

  • What is the author's opinion on the results generated by the different AI generators?

    -The author found that Playground, Leonardo, and especially ClipDrop could generate more cinematic images without the need for long prompts. However, the results from Tensor Art were not as expected and were described as childish.

  • What does the author suggest for users to do after the experiment?

    -The author suggests that users share their experiences in the comment box and promises to come up with more free tools experiments in the future.

Outlines

00:00

🎨 Experimenting with Text-to-Image Generation

The video introduces a case study on generative AI, focusing on text-to-image generation. The host, Design Junkie, plans to use five different websites that utilize the same stable diffusion model to generate images from a simple prompt: 'glowing jellyfish and illuminated fish floating through a neon cyberpunk City.' The aim is to see if these applications interpret the prompt similarly or differently. The first platform, Lexica, generates images that don't quite match the prompt's jellyfish description but are visually appealing. The host then moves on to Tensor Art, which offers various trained models for different styles of image generation. The SDXL model is chosen for its high-quality output. The settings are adjusted for a better comparison with the other platforms, and the image generation process begins. The host also briefly mentions the other platforms: Leonardo, Playground AI, and Clip Drop, noting their unique features and interfaces.

05:01

📈 Reviewing the Generated Images and User Experience

After generating images using the different platforms, the host reviews the results. Lexica produced four images, but they did not meet the expected outcome. Tensor Art generated only one image, which the host felt was not up to par and decided to generate three more. Leonardo's output is praised for following the prompt accurately and having a cool effect with the jellyfish and city background. Playground AI's images are noted to be more dramatic and visually appealing, with a neon street and water body treatment. Clip Drop's images are appreciated for their photographic quality, giving a less digital and more realistic feel. The host concludes that Playground, Leonardo, and Clip Drop are more capable of generating cinematic images without the need for complex prompts. The video ends with a call for viewer comments and a promise for more tool experiments in the future.

Mindmap

Keywords

💡Generative AI

Generative AI refers to a subset of artificial intelligence that can create new content, such as text, images, music, and animations, based on given prompts or inputs. In the video, the host explores the use of generative AI in the context of text-to-image generation, which is a specific application of this broader technology.

💡Text-to-Image Generation

Text-to-image generation is a process where a computer program converts textual descriptions into visual images. This technology is a part of generative AI and is showcased in the video through various AI platforms that interpret a simple prompt to create images, demonstrating the power and creativity of AI in visual art.

💡Stable Diffusion

Stable Diffusion is a type of AI model used for generating images from text prompts. It is mentioned in the script as the underlying technology that all five applications in the video are utilizing. The model's ability to interpret and visualize text into images is central to the experiment conducted by the host.

💡Prompt

In the context of AI and text-to-image generation, a prompt is a textual input that guides the AI to create specific images. The host uses the phrase 'glowing jellyfish and illuminated fish floating through a neon cyberpunk City' as the prompt to test how each platform interprets and visualizes the concept.

💡Negative Prompt

A negative prompt is a feature in text-to-image generation that allows users to specify what they do not want to appear in the generated images. The video script mentions the use of a simple prompt without a negative prompt, focusing on how the AI interprets the positive aspects of the prompt.

💡Leonardo

Leonardo is one of the AI platforms featured in the video for text-to-image generation. It is highlighted for its user-friendly interface and the ability to choose different models for various styles of image outputs. The host appreciates the platform's adherence to the prompt and the quality of the generated images.

💡Clip Drop

Clip Drop is another AI tool mentioned in the video, developed by Stability.AI. It is praised for its simplicity and clean design, allowing users to generate images with minimal complexity. The host's favorite, it is noted for producing images with a photographic quality that resembles real photography rather than digital art.

💡Photographic

Photographic in the context of the video refers to the style of the generated images that resemble real photographs. The host prefers the 'photographic' style in Clip Drop for its realistic and less digital art-like appearance, emphasizing the advanced capabilities of AI in mimicking real-world visuals.

💡Cyberpunk City

Cyberpunk City is a concept used in the video's prompt, describing a futuristic urban environment with advanced technological features, often associated with neon lights and dystopian themes. The AI platforms are tasked with visualizing this concept, showcasing their ability to interpret and create complex, thematic imagery.

💡Jellyfish

In the video, jellyfish are part of the prompt used for image generation, with the requirement that they be 'glowing' and 'illuminated.' The host evaluates how each platform visualizes this aquatic creature in the context of a cyberpunk city, highlighting the diversity in the AI's interpretation of the prompt.

💡Image Quality

Image quality is a critical aspect evaluated in the video, as the host compares the outputs from different AI platforms. It refers to the clarity, detail, and overall aesthetic appeal of the generated images. The host notes that some platforms produced higher quality, more realistic images, while others fell short of expectations.

Highlights

The author experimented with five free text-to-image AI generators using the same prompt 'glowing jellyfish and illuminated fish floating through a neon cyberpunk City'.

All five applications used the same stable diffusion model for image generation.

Lexica's interface is simple, allowing even a child to understand.

Lexica's generated images did not meet the author's expectations, with the jellyfish looking more like a spaceship.

Tensor Art offers a more complex interface with various trained models for different styles of image generation.

The author chose the 'sdxl' model in Tensor Art for high-quality output.

Leonardo has a user-friendly interface with featured models and a variety of styles for different outputs.

Leonardo's free version allows for the creation of four images at a cost of eight tokens.

PlaygroundAI offers a dramatic style and allows users to choose from different tabs like Landscapes, Fashions, and Anime.

Clip Drop, developed by Stability.ai, has a simple and clean design with no complicated features.

Clip Drop uses Stable Diffusion XL and allows users to choose styles such as 'photographic'.

Leonardo's images properly scattered glowing jellyfish with a nice city background.

Playground's images were more dramatic and featured a well-treated water body or neon street.

Clip Drop provided a single jellyfish image and then multiple ones, with a photographic treatment and depth of field.

Tensor Art generated childish images that did not appear photographic, suggesting the need to try different models.

The author found that Playground, Leonardo, and especially Clip Drop could generate more cinematic images without long prompts.

The author encourages readers to share their experiences with these tools in the comments.

The author promises to come up with more free tools experiments in future content.

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