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map_diffusion_lora

Text-to-Image
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stable-diffusion
stable-diffusion-diffusers
lora
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mprzymus commited on
Commit
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1 Parent(s): 68b2afb

End of training

Browse files
Files changed (9) hide show
  1. README.md +0 -3
  2. image_0.png +0 -0
  3. logs/text2image-fine-tune/1691260691.9288816/events.out.tfevents.1691260691.marcin-ms7b86.14242.1 +3 -0
  4. logs/text2image-fine-tune/1691260691.9299395/hparams.yml +50 -0
  5. logs/text2image-fine-tune/1691260745.7829463/events.out.tfevents.1691260745.marcin-ms7b86.14730.1 +3 -0
  6. logs/text2image-fine-tune/1691260745.783974/hparams.yml +50 -0
  7. logs/text2image-fine-tune/events.out.tfevents.1691260691.marcin-ms7b86.14242.0 +3 -0
  8. logs/text2image-fine-tune/events.out.tfevents.1691260745.marcin-ms7b86.14730.0 +3 -0
  9. pytorch_lora_weights.bin +1 -1
README.md CHANGED
@@ -15,7 +15,4 @@ inference: true
15
  These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the mprzymus/text2tile_large dataset. You can find some example images in the following.
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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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15
  These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the mprzymus/text2tile_large dataset. You can find some example images in the following.
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  ![img_0](./image_0.png)
 
 
 
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image_0.png CHANGED
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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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+ cache_dir: null
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+ caption_column: caption
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+ center_crop: true
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+ checkpointing_steps: 500
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+ checkpoints_total_limit: null
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+ dataloader_num_workers: 8
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+ dataset_config_name: null
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+ dataset_name: mprzymus/text2tile_large
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+ enable_xformers_memory_efficient_attention: false
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+ gradient_accumulation_steps: 4
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+ gradient_checkpointing: false
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+ hub_model_id: mprzymus/map_diffusion_lora
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+ hub_token: null
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+ image_column: image
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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_scheduler: cosine
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+ lr_warmup_steps: 0
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+ max_grad_norm: 1.0
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+ max_train_samples: null
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+ max_train_steps: 15
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+ mixed_precision: null
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+ noise_offset: 0
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+ num_train_epochs: 1
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+ num_validation_images: 0
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+ output_dir: model_out
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+ prediction_type: null
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+ pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
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+ push_to_hub: true
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+ random_flip: true
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+ rank: 4
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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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+ scale_lr: false
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+ seed: 1337
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+ snr_gamma: null
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+ train_batch_size: 1
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+ use_8bit_adam: false
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+ validation_epochs: 1
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+ validation_prompt: "OSM from \u0141\xF3d\u017A, Poland, Europe of neighbourhood area\
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+ \ containing: 1 leisure nature reserve, 1 landuse farmland."
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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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+ enable_xformers_memory_efficient_attention: false
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+ image_column: image
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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_scheduler: cosine
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+ lr_warmup_steps: 0
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+ max_grad_norm: 1.0
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+ max_train_samples: null
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+ max_train_steps: 15
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+ mixed_precision: null
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+ noise_offset: 0
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+ num_train_epochs: 1
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+ num_validation_images: 1
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+ output_dir: model_out
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+ prediction_type: null
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+ pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
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+ push_to_hub: true
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+ random_flip: true
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+ rank: 4
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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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+ scale_lr: false
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+ seed: 1337
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+ snr_gamma: null
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+ train_batch_size: 1
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+ use_8bit_adam: false
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+ validation_epochs: 1
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+ validation_prompt: "OSM from \u0141\xF3d\u017A, Poland, Europe of neighbourhood area\
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+ \ containing: 1 leisure nature reserve, 1 landuse farmland."
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