End of training

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+image_0.png filter=lfs diff=lfs merge=lfs -text
+image_1.png filter=lfs diff=lfs merge=lfs -text
+image_2.png filter=lfs diff=lfs merge=lfs -text
+image_3.png filter=lfs diff=lfs merge=lfs -text

README.md

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+
+---
+license: creativeml-openrail-m
+base_model: segmind/Segmind-Vega
+dataset: rjaiswal/watches-plus-3D-views-dataset
+tags:
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+- text-to-image
+- diffusers
+- lora
+inference: true
+---
+    
+# LoRA text2image fine-tuning - rjaiswal/vega-watches-model-lora
+
+These are LoRA adaption weights for segmind/Segmind-Vega. The weights were fine-tuned on the rjaiswal/watches-plus-3D-views-dataset 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)
+
+
+LoRA for the text encoder was enabled: False.
+
+Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.

logs/text2image-fine-tune/1703671838.4498432/events.out.tfevents.1703671838.raphael-v100-segmind.10505.1

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logs/text2image-fine-tune/1703671838.4514227/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: text
+center_crop: false
+checkpointing_steps: 500
+checkpoints_total_limit: null
+dataloader_num_workers: 0
+dataset_config_name: null
+dataset_name: rjaiswal/watches-plus-3D-views-dataset
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 1
+gradient_checkpointing: false
+hub_model_id: null
+hub_token: null
+image_column: image
+learning_rate: 0.0001
+local_rank: -1
+logging_dir: logs
+lr_scheduler: constant
+lr_warmup_steps: 0
+max_grad_norm: 1.0
+max_train_samples: null
+max_train_steps: 372
+mixed_precision: fp16
+noise_offset: 0
+num_train_epochs: 2
+num_validation_images: 4
+output_dir: vega-watches-model-lora
+prediction_type: null
+pretrained_model_name_or_path: segmind/Segmind-Vega
+pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
+push_to_hub: true
+random_flip: true
+rank: 4
+report_to: tensorboard
+resolution: 1024
+resume_from_checkpoint: null
+revision: null
+scale_lr: false
+seed: 42
+snr_gamma: null
+train_batch_size: 1
+train_data_dir: null
+train_text_encoder: false
+use_8bit_adam: false
+validation_epochs: 1
+validation_prompt: A watch with coil bracelet with a snake style
+variant: null

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pytorch_lora_weights.safetensors

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