Public checkpoints of aMUSEd
MUSE text-to-image model.\nThe open-muse repo contains the model implementation, training code and everything related to training.\nAll the artefacts of this project, such as the training checkpoints and final models will be uploaded to this organization.\n
datasets
0
Training Logs:
\nAll training logs can be found in this W&B Project
\nSteps:
\n- \n
- Setup the codebase and train a class-conditional model on imagenet. \n
- Conduct text2image experiments on CC12M. \n
- Train improved VQGANs models. \n
- Train the full (base-256) model on LAION + COYO. \n
- Train the full (base-512) model on LAION + COYO. \n
Weekly Log
\n...
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MUSE","name":"amused","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"isEnterprise":false,"followerCount":44},"colorFrom":"gray","colorTo":"red","createdAt":"2023-05-24T11:25:12.000Z","emoji":"📊","id":"amused/amused","lastModified":"2024-01-04T14:15:50.000Z","likes":47,"pinned":false,"private":false,"sdk":"gradio","repoType":"space","runtime":{"stage":"RUNNING","hardware":{"current":"a10g-large","requested":"a10g-large"},"storage":null,"gcTimeout":86400,"replicas":{"current":1,"requested":1},"devMode":false,"domains":[{"domain":"amused-amused.hf.space","stage":"READY"}],"sha":"9ff3bfbdd4057efc5759bbd4f14598bea402f201"},"title":"aMUSEd","isLikedByUser":false,"ai_short_description":"Generate images from text prompts","ai_category":"Image Generation","trendingScore":0,"tags":["gradio","region:us"]}],"numDatasets":0,"numModels":3,"numSpaces":2,"lastOrgActivities":[],"acceptLanguages":["*"],"canReadRepos":false,"canReadSpaces":false,"blogPosts":[],"currentRepoPage":0,"filters":{}}">AI & ML interests
Reproducing https://muse-model.github.io/
Organization Card
Open Reproduction Effort to reproduce MUSE
Open-muse is a project to openly reproduce the transformer-based MUSE text-to-image model. The open-muse repo contains the model implementation, training code and everything related to training. All the artefacts of this project, such as the training checkpoints and final models will be uploaded to this organization.
Training Logs:
All training logs can be found in this W&B Project
Steps:
- Setup the codebase and train a class-conditional model on imagenet.
- Conduct text2image experiments on CC12M.
- Train improved VQGANs models.
- Train the full (base-256) model on LAION + COYO.
- Train the full (base-512) model on LAION + COYO.
Weekly Log
...
datasets
0
None public yet