Top Free Image Generation tools, APIs, and Open Source models

Top Free Image Generation tools, APIs, and Open Source models

What is Image Generation API?

AI technology has long been utilized to create exclusive content such as art, literature, and music, adhering to fixed regulations and criteria. Yet, the latest AI image-generation software, also called text to image generator, has taken this ability to a new level, allowing machines to promptly generate a vast assortment of images restricted only by their imagination.

Images produced through AI technology are designed by computer programs rather than human hands, producing a whole new way of creating visual content. They include diverse art forms such as paintings, drawings, and other artistic creations.

These generators of images yield excellent results, thus proving invaluable for enhancing creative visual content in various fields like marketing, advertising, and blogging.

Top Open Source (Free) Text to Image Generation models on the market

For users seeking a cost-effective engine, opting for an open-source model is the recommended choice. Here is the list of best Image Generation Open Source Models:

1. DeepFloyd IF

Backed by Stability AI, the DeepFloyd research team has developed an open-source model that combines realistic visuals with language comprehension. DeepFloyd IF boasts a modular design, including a fixed text encoder and three interconnected pixel diffusion modules.

2. Stable Diffusion v1-5

The latent text-to-image model Stable Diffusion v1-5 combines an autoencoder with a diffusion model to produce lifelike images. The model has been trained on an exhaustive laion-aesthetics v2 5+ dataset and fine-tuned over 595k steps at a resolution of 512×512 pixels.

It astounds in its capability to create remarkably realistic images based on any given text input. It offers versatility in producing images from a diverse range of latent spaces, instead of being confined to a predetermined set of textual cues.

3. OpenJourney

Openjourney is a no-cost and open-source model for text-to-image that creates AI art in the style of Midjourney by utilizing a dataset of over 124k Midjourney v4 photos. Openjourney was created by PromptHero, a renowned prompt engineering website, and now ranks as the second most downloaded text-to-image model on HuggingFace, following Stable Diffusion.

4. DreamShaper

Built on the diffusion model architecture, the ever-popular Dream Shaper V7 introduces enhancements in LoRA support and realism. It builds on the updates of Version 6, which already boasted expanded LoRA support, improved style, and superior generation at a 1024-pixel height (however, take care when using this function). With a noise offset, it creates photorealistic images and elevates anime-style generation with booru tags.

‍5. Waifu Diffusion

Waifu Diffusion, a refined iteration (v1.3) of the Stable Diffusion model, derived from Stable Diffusion v1.4. This model has a distinctive proficiency in producing lifelike anime-style images, and has received widespread acclaim for its vast array and excellent quality. The model was calibrated on a dataset of 680k text-image samples collected from a booru site.

Cons of Using Open Source AI models

‍While open source models offer many advantages, they also come with some potential drawbacks and challenges. Here are some cons of using open source models:

  • Not Entirely Cost Free: Open-source models, while providing valuable resources to users, may not always be entirely free of cost. Users often need to bear expenses related to hosting and server usage, especially when dealing with large or resource-intensive data sets.
  • Lack of Support: Open source models may not come with official support channels or dedicated customer support teams. If you encounter issues or need assistance, you might have to rely on community forums or the goodwill of volunteers, which can be less reliable than commercial support.
  • Limited Documentation: Some open source models may have incomplete or poorly maintained documentation. This can make it difficult for developers to understand how to use the model effectively, leading to frustration and wasted time.
  • Security Concerns: Security vulnerabilities can exist in open source models, and it may take longer for these issues to be addressed compared to commercially supported models. Users of open source models may need to actively monitor for security updates and patches.
  • Scalability and Performance: Open source models may not be as optimized for performance and scalability as commercial models. If your application requires high performance or needs to handle a large number of requests, you may need to invest more time in optimization.

Why choose Eden AI?

Given the potential costs and challenges related to open-source models, one cost-effective solution is to use APIs. Eden AI smoothens the incorporation and implementation of AI technologies with its API, connecting to multiple AI engines.

Eden AI presents a broad range of AI APIs on its platform, customized to suit your specific needs and financial limitations. These technologies include data parsing, language identification, sentiment analysis, logo recognition, question answering, data anonymization, speech recognition, and numerous other capabilities.

To get started, we offer free $10 credits for you to explore our APIs. 60720 (1).png

Access AI Image Generation providers with one API

Our standardized API enables you to integrate Text to Image Generation APIs into your system with ease by utilizing various providers on Eden AI. Here is the list (in alphabetical order):

  • DeepAI
  • OpenAI-DALL-E 2
  • Replicate
  • Stability AI-Stable Diffusion

1. Deep AI- Available on Eden AI

Deep AI stands as an outstanding AI image generation system, offering a wide selection of pre-trained models and APIs tailored for tasks in natural language processing and computer vision. Within Deep AI's solution, users can access lifelike images characterized by their sharp resolution, with the added benefit of customizable attributes like textures and hues.

What's more, developers can seamlessly integrate these models and APIs into their applications, requiring minimal training efforts. Deep AI also fosters a collaborative environment for researchers, encouraging the sharing and cooperation on AI projects to drive innovation and progress in the field.

2. OpenAI-DALL-E 2 Available on Eden AI

DALL-E 2, a variant of OpenAI's DALL-E model, operates within the realm of image generation. It's a deep learning model designed to convert textual descriptions into detailed visual representations. By leveraging a transformer-based framework, DALL-E 2 accomplishes the creation of high-resolution images with exquisite details.

This versatile tool enables users to create a wide range of images, including photorealistic depictions, stylized illustrations, and even images that resemble existing ones but present unique variations. Furthermore, it can create brand-new pictures by interpolating between existent ones and employing textual prompts as navigational aids, making it possible to produce nearly any imaginable image.

3. Replicate- Available on Eden AI

Replicate provides the ability to deploy machine learning models through a cloud-based API, removing the requirement for extensive knowledge of machine learning intricacies or the difficulties of infrastructure management.

This adaptable platform permits the execution of open-source models, shared by the community, or customization, distribution, and ownership of your own models whilst retaining the option to specify their visibility as either public or private.

4. StabilityAI- Stable Diffusion Available on Eden AI is a highly acclaimed open-source AI company renowned for its breakthrough Stable Diffusion model. This cutting-edge technology is the preferred choice among AI image generation solutions and has earned the trust of leading providers such as NightCafe, HuggingFace, and StarryAI.

This model has been seamlessly integrated into the company's DreamStudio application, thereby enabling users to readily access its features. Utilizing cutting-edge deep learning techniques, this technology boasts the ability to generate high-quality images that accurately replicate real-world visuals.


Pricing Structure for Image Generation API Providers

Eden AI offers a user-friendly platform for evaluating pricing information from diverse API providers and monitoring price changes over time. As a result, keeping up-to-date with the latest pricing is crucial. The pricing chart below outlines the rates for smaller quantities for October 2023, as well as you can get discounts for potentially large volumes.

How Eden AI can help you?

Eden AI is the future of AI usage in companies: our app allows you to call multiple AI APIs.

  • Centralized and fully monitored billing on Eden AI for Text to Image Generation APIs
  • Unified API for all providers: simple and standard to use, quick switch between providers, access to the specific features of each provider
  • Standardized response format: the JSON output format is the same for all suppliers thanks to Eden AI's standardization work. The response elements are also standardized thanks to Eden AI's powerful matching algorithms.
  • The best Artificial Intelligence APIs in the market are available: big cloud providers (Google, AWS, Microsoft, and more specialized engines)
  • Data protection: Eden AI will not store or use any data. Possibility to filter to use only GDPR engines.

You can see Eden AI documentation here.

Next step in your project

The Eden AI team can help you with your Text-to-Speech integration project. This can be done by :

  • Organizing a product demo and a discussion to better understand your needs. You can book a time slot on this link: Contact
  • By testing the public version of Eden AI for free: however, not all providers are available on this version. Some are only available on the Enterprise version.
  • By benefiting from the support and advice of a team of experts to find the optimal combination of providers according to the specifics of your needs
  • Having the possibility to integrate on a third-party platform: we can quickly develop connectors.

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