ramsrigouthamg commited on
Commit
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1 Parent(s): 011f802

End of training

Browse files
.gitattributes CHANGED
@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+
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+ ---
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+ license: openrail++
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+ base_model: segmind/SSD-1B
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+ instance_prompt: a photo of sks dog
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+ tags:
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+ - stable-diffusion-xl
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+ - stable-diffusion-xl-diffusers
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+ - text-to-image
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+ - diffusers
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+ - lora
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+ inference: true
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+ ---
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+
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+ # LoRA DreamBooth - ramsrigouthamg/lora-dog-SSD-1B
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+
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+ These are LoRA adaption weights for segmind/SSD-1B. The weights were trained on a photo of sks dog using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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+
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+ ![img_0](./image_0.png)
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+ ![img_1](./image_1.png)
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+ ![img_2](./image_2.png)
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+ ![img_3](./image_3.png)
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+
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+
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+ LoRA for the text encoder was enabled: False.
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+
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+ Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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+ adam_beta1: 0.9
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+ adam_beta2: 0.999
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+ adam_epsilon: 1.0e-08
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+ adam_weight_decay: 0.01
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+ allow_tf32: false
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+ instance_data_dir: dog
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+ instance_prompt: a photo of sks dog
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+ learning_rate: 0.0001
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+ local_rank: -1
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+ logging_dir: logs
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+ lr_num_cycles: 1
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+ lr_power: 1.0
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+ lr_scheduler: constant
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+ lr_warmup_steps: 0
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+ max_grad_norm: 1.0
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+ max_train_steps: 500
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+ mixed_precision: fp16
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+ num_class_images: 100
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+ num_train_epochs: 250
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+ num_validation_images: 4
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+ output_dir: lora-dog-SSD-1B
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+ pretrained_model_name_or_path: segmind/SSD-1B
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+ pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
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+ prior_generation_precision: null
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+ prior_loss_weight: 1.0
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+ report_to: tensorboard
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+ validation_prompt: A photo of sks dog in a bucket
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