Paper, models, ablations + single-reward specialists, and the live ZeroGPU demo.
Nicolas Dufour
nicolas-dufour
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MIRO — Multi-Reward Conditioned T2I (ICML 2026)
Paper, models, ablations + single-reward specialists, and the live ZeroGPU demo.
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MIRO: MultI-Reward cOnditioned pretraining improves T2I quality and efficiency
Paper • 2510.25897 • Published • 17 -
nicolas-dufour/miro
Text-to-Image • 0.4B • Updated • 54 • 15 -
nicolas-dufour/miro-ablations
Text-to-Image • Updated - Running on ZeroAgents6
MIRO
🎨6Multi-reward conditioned text-to-image diffusion (ICML 2026)
Around the World in 80 Timesteps
Ressources related to the paper Around the World in 80 Timesteps:
A Generative Approach to Global Visual Geolocation
models 13
nicolas-dufour/miro-ablations
Text-to-Image • Updated
nicolas-dufour/miro
Text-to-Image • 0.4B • Updated • 54 • 15
nicolas-dufour/PLONK_OSV_5M_flow
36M • Updated • 32 • 1
nicolas-dufour/PLONK_iNaturalist
9.15M • Updated • 157 • 10
nicolas-dufour/PLONK_YFCC
36M • Updated • 784 • 19
nicolas-dufour/PLONK_OSV_5M
36M • Updated • 628 • 18
nicolas-dufour/PLONK_YFCC_diffusion
36M • Updated • 73
nicolas-dufour/PLONK_YFCC_flow
36M • Updated • 77
nicolas-dufour/PLONK_iNaturalist_diffusion
9.15M • Updated • 12
nicolas-dufour/PLONK_iNaturalist_flow
9.15M • Updated • 15 • 1
datasets 0
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