This article lists some free AI tools that can generate images.
Some popular examples include:
- DALL-E, which is an AI tool that can generate images from text descriptions. It is developed by OpenAI and is available to use on their website.
- BigGAN, is a Generative Adversarial Network (GAN) that can generate high-resolution images. It is also developed by OpenAI and is available to use on their website.
- pix2pix, which is a machine-learning model that can be used to generate images from sketches or other drawings. The pix2pix implementation is open-source and can be found on GitHub.
Keep in mind that most of these tools are research projects and may require a good understanding of machine learning to use effectively.
DALL-E:
- Ease of use: Moderate. The user needs to input a text description of the desired image, which may require some creativity and experimentation to get the desired results.
- Pricing: Free to use on OpenAI’s website.
- Quality of output: High. DALL-E is capable of generating high-quality images from text descriptions.
- Suggested use cases: Creating unique images for marketing materials, generating images for stories and novels, creating personalized images for social media, generating avatars for online profiles, and creating custom images for game assets.
BigGAN:
- Ease of use: Moderate. The user needs to input a text description or a label of the desired image, which may require some creativity and experimentation to get the desired results.
- Pricing: Free to use on OpenAI’s website.
- Quality of output: High. BigGAN is capable of generating high-resolution images with fine details.
- Suggested use cases: Creating unique images for marketing materials, generating images for stories and novels, creating personalized images for social media, generating avatars for online profiles, and creating custom images for game assets.
pix2pix:
- Ease of use: Moderate. The user needs to provide a sketch or a drawing as input to the model and some understanding of machine learning is required to fine-tune the model for a specific use case.
- Pricing: Open source and free to use.
- Quality of output: Depending on the input, the quality of the output will be similar to the quality of the input.
- Suggested use cases: Generating realistic images from sketches, creating game assets from hand-drawn images, generating images from architectural drawings, converting hand-drawn illustrations to digital images, and creating images from medical imaging data.
Overall, all three AI tools are capable of generating high-quality images, but they have different strengths and weaknesses. DALL-E and BigGAN are better suited for generating unique images from text descriptions or labels, while pix2pix is better suited for generating images from sketches or drawings.