Personalized Image Generation
Free image generation AI tools for creating personalized visuals, perfect for artists and designers needing unique imagery for their projects.
InstantID is a ID embedding-based method that can be used to personalize images in various styles using just a single facial image, while ensuring high fidelity.
Custom Diffusion can quickly fine-tune text-to-image diffusion models to generate new variations from just a few examples in about 6 minutes on 2 A100 GPUs. It allows for the combination of multiple concepts and requires only 75MB of storage for each additional model, which can be compressed to 5-15MB.
It’s been a while since I last doomed the TikTok dancers. MagicDance is gonna doom them some more. This model can combine human motion with reference images to precisely generate appearance-consistent videos. While the results still contain visible artifacts and jittering, give it a few months and I’m sure we can’t tell the difference no more.
FABRIC can condition diffusion models on feedback images to improve image quality. This method allows users to personalize content through multiple feedback rounds without needing training.
FastComposer can generate personalized images of multiple unseen individuals in various styles and actions without fine-tuning. It is 300x-2500x faster than traditional methods and requires no extra storage for new subjects, using subject embeddings and localized attention to keep identities clear.
LDMs are high-resolution image generators that can inpaint, generate images from text or bounding boxes, and do super-resolution.