alphaxiv.orghttps://www.alphaxiv.org/abs/2408.11039v1Transfusion: Predict the Next Token and Diffuse Images with …We introduce Transfusion, a recipe for training a multi-modal model over discrete and continuous data. Transfusion combines the language modeling loss function (next token prediction) with diffusion to train a single transformer over mixed-modality sequences. We pretrain multiple Transfusion models up to 7B parameters from scratch on a mixture of text and image data, …

substack.comhttps://machinelearningatscale.substack.com/p/56-transfusion-predict-the-next-to…56. Transfusion: Predict the Next Token and Diffuse Images …2024年9月29日 · Transfusion combines the language modeling loss function (next token prediction) with diffusion to train a single transformer over mixed modality sequences ... 56. Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model. ... Thanks for reading Machine learning at scale! Subscribe for free to receive new posts and ...

Semantic Scholarhttps://www.semanticscholar.org/paper/Transfusion:-Predict-the-Next-Token-and …Figure 3 from Transfusion: Predict the Next Token and …DOI: 10.48550/arXiv.2408.11039 Corpus ID: 271909855; Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model @article{Zhou2024TransfusionPT, title={Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model}, author={Chunting Zhou and Lili Yu and Arun Babu and Kushal Tirumala and Michihiro Yasunaga and Leonid Shamis …

pages.devhttps://cs294-43-fall2024.pages.dev/assets/presentations/transfusion.pdf[PDF]Transfusion: Predict the Next Token and Diffuse Images …Transfusion Training Objective - For images, add noise ϵ to each input latent x 0 according to the diffusion process to produce x t - Apply different losses to text token predictions and image patch predictions - Use a balancing coefficient and combine losses λ is set to 5 in the paper