SidXXD commited on
Commit
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1 Parent(s): 5a7d77c

End of training

Browse files
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  ---
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  license: creativeml-openrail-m
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  base_model: CompVis/stable-diffusion-v1-4
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- instance_prompt: photo of a <new1> frangipani--output_dir=single-F-5-flower
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  tags:
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  - stable-diffusion
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  - stable-diffusion-diffusers
@@ -14,7 +14,7 @@ inference: true
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  # Custom Diffusion - SidXXD/custom-diffusion-model
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- These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> frangipani--output_dir=single-F-5-flower using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following.
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  ---
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  license: creativeml-openrail-m
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  base_model: CompVis/stable-diffusion-v1-4
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+ instance_prompt: photo of a <new1> morning glory--output_dir=./model/single-F-5-morning-glory-FLOWER-2
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  tags:
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  - stable-diffusion
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  - stable-diffusion-diffusers
 
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  # Custom Diffusion - SidXXD/custom-diffusion-model
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+ These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> morning glory--output_dir=./model/single-F-5-morning-glory-FLOWER-2 using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following.
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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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+ center_crop: false
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+ checkpointing_steps: 250
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+ dataloader_num_workers: 2
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+ enable_xformers_memory_efficient_attention: false
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+ freeze_model: crossattn_kv
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+ hflip: true
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+ initializer_token: ktn+pll+ucd
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+ instance_data_dir: ./data/flowers/flw_1
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+ instance_prompt: photo of a <new1> morning glory--output_dir=./model/single-F-5-morning-glory-FLOWER-2
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+ learning_rate: 1.0e-05
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+ local_rank: -1
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+ logging_dir: logs
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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: 250
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+ mixed_precision: null
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+ no_safe_serialization: true
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+ noaug: false
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+ num_class_images: 200
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+ num_train_epochs: 1
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+ num_validation_images: 2
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+ output_dir: custom-diffusion-model
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+ pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
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+ prior_generation_precision: null
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+ prior_loss_weight: 0.0
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+ push_to_hub: true
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+ real_prior: false
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+ report_to: tensorboard
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+ resolution: 512
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+ resume_from_checkpoint: null
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+ revision: null
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+ sample_batch_size: 4
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+ scale_lr: true
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+ seed: 42
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+ use_8bit_adam: false
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+ validation_steps: 50
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