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AlonzoLeeeooo/LaCon
LaCon is a machine learning model from AlonzoLeeeooo. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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Updated Jun 13, 2024
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.ckpt8.5 GB · 90%
From the Hugging Face model README
Chang Liu, Rui Li, Kaidong Zhang, Xin Luo, Dong Liu
[Paper] / [Project] / [GitHub] / [ModelScope] / [Demo]
Official pre-trained model weights of the paper titled "LaCon: Late-Constraint Diffusion for Steerable Guided Image Synthesis".
LaCon/
└── data-preprocessing
├── bdcn.pth <----- Model weights of BDCN edge detector (Place in `data-preprocessing/bdcn-edge-detection/checkpoints`)
├── vgg16.pth <----- Preresquisites of BDCN edge detector (Place in `data-preprocessing/bdcn-edge-detection/checkpoints`)
└── u2net.pth <----- Model weights of U2-Net saliency detector (Place in `data-preprocessing/u2net-saliency-detection/checkpoints`)
└── sd-checkpoints
├── sd-v1-4.ckpt <----- SD v1.4
├── kl-f8.ckpt <----- VAE model of SD v1.4
├── sd-celebahq.ckpt <----- SD CelebA-HQ
└── vq-f4.ckpt <----- VAE model of SD CelebA-HQ
├── sdv14_edge.pth <----- Condition aligner based on SD v1.4, for edge conditions
├── sdv14_color.pth <----- Condition aligner based on SD v1.4, for color conditions
├── sdv14_mask.pth <----- Condition aligner based on SD v1.4, for mask conditions
├── sd_celeb_edge.pth <----- Condition aligner based on SD CelebA-HQ, for edge conditions
└── sd_celeb_stroke.pth <----- Condition aligner based on SD CelebA-HQ, for color conditions