End of training

README.md

@@ -14,4 +14,8 @@ inference: true
 # LoRA text2image fine-tuning - mprzymus/map_diffusion_lora
 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. 
 
+![img_0](./image_0.png)
+![img_1](./image_1.png)
+![img_2](./image_2.png)
+![img_3](./image_3.png)
 

logs/text2image-fine-tune/1691260602.9346197/events.out.tfevents.1691260602.marcin-ms7b86.13589.1

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+size 2382

logs/text2image-fine-tune/1691260602.9359677/hparams.yml

@@ -0,0 +1,50 @@
+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: 500
+checkpoints_total_limit: null
+dataloader_num_workers: 8
+dataset_config_name: null
+dataset_name: mprzymus/text2tile_large
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 4
+gradient_checkpointing: false
+hub_model_id: mprzymus/map_diffusion_lora
+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: 15
+mixed_precision: null
+noise_offset: 0
+num_train_epochs: 1
+num_validation_images: 4
+output_dir: model_out
+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: "OSM from \u0141\xF3d\u017A, Poland, Europe of neighbourhood area\
+  \ containing: 1 leisure nature reserve, 1 landuse farmland."

logs/text2image-fine-tune/events.out.tfevents.1691260602.marcin-ms7b86.13589.0

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+size 2334031

pytorch_lora_weights.bin

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