| | I just created a Huggingface Space showcasing how to interactively explore the outputs of a Stable Diffusion model via CLIP Embeddings. Probably this could be similarly applied to midjourney generated images as well. Embedding-based image similarity plotted in 2D via dimensionality reduction. The visualization is done using the tool Spotlight. Also, I created a tutorial showcasing how to automatically select promising prompts and images from a large dataset. It is roughly based on the following approach:
Have you ever explored any (automatic) evaluation strategies for image generation models? I would love to learn about some alternative approaches. [link] [comments] |
