Retro Diffusion
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Pricing model
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Retro Diffusion is an AI-driven tool connected with Aseprite, designed to produce superior pixel art from user inputs. It provides robust text guidance, delivers high-resolution results without the need for upscaling, and features an effective language model for enhancing prompts. This tool can assist artists and designers in making their pixel art creation more efficient, allowing them to save time while retaining detailed control over the final product. Its specialized training on licensed pixel art assets makes it especially adept at generating precise, intricate pixel art images.
Similar neural networks:
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Plask Motion is an online motion capture platform that enables users to upload images and apply poses through AI-generated imagery in the cloud. It also provides web-based tools for pose and shot editing, facilitating the creation of both realistic and anime-style images.
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RenderNet is an AI-driven tool crafted to provide exceptional control in image creation, enabling users to produce images exactly to their preferences. It includes sophisticated features like FaceLock for crafting consistent characters from real faces, ControlNet for defining detailed image layouts and poses, and Multi-model generations for applying prompts across multiple models simultaneously. Furthermore, RenderNet's Canvas offers an advanced AI platform for professional-level creation and editing of AI images. This tool is perfect for developing AI influencers, game assets, avatars, fashion designs, headshots, and product photography. RenderNet is appealing for its ability to swiftly and efficiently generate highly tailored and realistic images, catering to both creative and commercial demands within the burgeoning AI art community.
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Prodia is an image API that allows users to quickly create images from text. It provides a free playground for experimenting with AI image creation and has over 10,000 GPUs, capable of generating 50 million images, meeting extensive application needs. The API is swift, with a 2-second generation time, and is engineered to reduce text-to-image production costs by 50-90% compared to traditional cloud solutions.