End of training

README.md

@@ -31,7 +31,7 @@ These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights
   "train_data_dir": null,
   "image_column": "image",
   "caption_column": "caption",
-  "validation_prompt": "top down view of an antique rug from Peter Pap's collection",
+  "validation_prompt": "peter paps rug on a white background, persian rug, symmetric indian pattern, oriental carpets, persian carpets, rug, persian carpet, detailed patterned rug, persian design, highly intricate detailed, light boho carpet, rugs, an area rug, decorated with russian motifs, trending on textures. com, gilt silk torn fabric, highly intricate and colorful",
   "num_validation_images": 4,
   "validation_epochs": 1,
   "max_train_samples": null,
@@ -73,6 +73,6 @@ These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights
   "enable_xformers_memory_efficient_attention": false,
   "noise_offset": 0,
   "rank": 4,
-  "override_caption": "top down view of an antique rug from Peter Pap's collection"
+  "override_caption": "peter paps rug on a white background, persian rug, symmetric indian pattern, oriental carpets, persian carpets, rug, persian carpet, detailed patterned rug, persian design, highly intricate detailed, light boho carpet, rugs, an area rug, decorated with russian motifs, trending on textures. com, gilt silk torn fabric, highly intricate and colorful"
 }
 ```

checkpoint-250/optimizer.bin

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checkpoint-250/pytorch_model.bin

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logs/text2image-fine-tune/1691507887.4326649/events.out.tfevents.1691507887.8a674eb7b02b.2666.1

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logs/text2image-fine-tune/1691507887.4344428/hparams.yml

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+adam_beta1: 0.9
+adam_beta2: 0.999
+adam_epsilon: 1.0e-08
+adam_weight_decay: 0.01
+allow_tf32: false
+cache_dir: null
+caption_column: caption
+center_crop: true
+checkpointing_steps: 250
+checkpoints_total_limit: null
+dataloader_num_workers: 8
+dataset_config_name: null
+dataset_name: stillerman/rugs-1.9k-downloaded
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 4
+gradient_checkpointing: false
+hub_model_id: trdne-simple-prompt
+hub_token: null
+image_column: image
+learning_rate: 0.0001
+local_rank: -1
+logging_dir: logs
+lr_scheduler: cosine
+lr_warmup_steps: 0
+max_grad_norm: 1.0
+max_train_samples: null
+max_train_steps: 250
+mixed_precision: null
+noise_offset: 0
+num_train_epochs: 1
+num_validation_images: 4
+output_dir: model_out_dir
+override_caption: peter paps rug on a white background, persian rug, symmetric indian
+  pattern, oriental carpets, persian carpets, rug, persian carpet, detailed patterned
+  rug, persian design, highly intricate detailed, light boho carpet, rugs, an area
+  rug, decorated with russian motifs, trending on textures. com, gilt silk torn fabric,
+  highly intricate and colorful
+prediction_type: null
+pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
+push_to_hub: true
+random_flip: true
+rank: 4
+report_to: tensorboard
+resolution: 512
+resume_from_checkpoint: null
+revision: null
+scale_lr: false
+seed: 1337
+snr_gamma: null
+train_batch_size: 1
+train_data_dir: null
+use_8bit_adam: false
+validation_epochs: 1
+validation_prompt: peter paps rug on a white background, persian rug, symmetric indian
+  pattern, oriental carpets, persian carpets, rug, persian carpet, detailed patterned
+  rug, persian design, highly intricate detailed, light boho carpet, rugs, an area
+  rug, decorated with russian motifs, trending on textures. com, gilt silk torn fabric,
+  highly intricate and colorful

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pytorch_lora_weights.bin

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