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cs.CV2026
Mural: Transferring LLM knowledge to image generation via Mixture-of-Transformers
Achin Jain, Jie An, Siddharth Chaudhary +1
Leveraging capabilities of large language models (LLMs) in text-to-image (T2I) synthesis is an important research direction. In this work we investigate whether the knowledge of a…
cs.CV2024
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models
Benjamin Biggs, Arjun Seshadri, Yang Zou +6
We present Diffusion Soup, a compartmentalization method for Text-to-Image Generation that averages the weights of diffusion models trained on sharded data. By construction, our ap…