End of training

.gitattributes

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README.md

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+---
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+library_name: diffusers
+license: openrail++
+tags:
+- text-to-image
+- text-to-image
+- diffusers-training
+- diffusers
+- lora
+- template:sd-lora
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+instance_prompt: a photo of sks cocacola bottle
+widget:
+- text: a photo of sks cocacola bottle in a bucket
+  output:
+    url: image_0.png
+- text: a photo of sks cocacola bottle in a bucket
+  output:
+    url: image_1.png
+- text: a photo of sks cocacola bottle in a bucket
+  output:
+    url: image_2.png
+- text: a photo of sks cocacola bottle in a bucket
+  output:
+    url: image_3.png
+---
+
+<!-- This model card has been generated automatically according to the information the training script had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+
+# SDXL LoRA DreamBooth - nikita200/docker-test-trained
+
+<Gallery />
+
+## Model description
+
+These are nikita200/docker-test-trained LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
+
+The weights were trained  using [DreamBooth](https://dreambooth.github.io/).
+
+LoRA for the text encoder was enabled: False.
+
+Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
+
+## Trigger words
+
+You should use a photo of sks cocacola bottle to trigger the image generation.
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](nikita200/docker-test-trained/tree/main) them in the Files & versions tab.
+
+
+
+## Intended uses & limitations
+
+#### How to use
+
+```python
+# TODO: add an example code snippet for running this diffusion pipeline
+```
+
+#### Limitations and bias
+
+[TODO: provide examples of latent issues and potential remediations]
+
+## Training details
+
+[TODO: describe the data used to train the model]

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+gradient_accumulation_steps: 2
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+image_column: image
+instance_data_dir: uploads/b447557f-a6c6-4175-8b01-ab99f0229576
+instance_prompt: a photo of sks cocacola bottle
+learning_rate: 0.0001
+local_rank: -1
+logging_dir: logs
+lr_num_cycles: 1
+lr_power: 1.0
+lr_scheduler: constant
+lr_warmup_steps: 0
+max_grad_norm: 1.0
+max_train_steps: 10
+mixed_precision: fp16
+num_class_images: 100
+num_train_epochs: 3
+num_validation_images: 4
+optimizer: AdamW
+output_dir: docker-test-trained
+output_kohya_format: false
+pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
+pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
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+use_dora: false
+validation_epochs: 25
+validation_prompt: a photo of sks cocacola bottle in a bucket
+variant: null
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