End of training
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- .gitattributes +8 -0
- 302272742_test/dreambooth-lora-sd-xl/1717102353.7877617/events.out.tfevents.1717102353.lifestyle-image-gen-mhll.897324.1 +3 -0
- 302272742_test/dreambooth-lora-sd-xl/1717528155.509009/events.out.tfevents.1717528155.lifestyle-image-gen-mhll.1087171.1 +3 -0
- 302272742_test/dreambooth-lora-sd-xl/1717532553.2139719/events.out.tfevents.1717532553.lifestyle-image-gen-mhll.1137187.1 +3 -0
- 302272742_test/dreambooth-lora-sd-xl/events.out.tfevents.1717102353.lifestyle-image-gen-mhll.897324.0 +3 -0
- 302272742_test/dreambooth-lora-sd-xl/events.out.tfevents.1717528155.lifestyle-image-gen-mhll.1087171.0 +3 -0
- 302272742_test/dreambooth-lora-sd-xl/events.out.tfevents.1717532553.lifestyle-image-gen-mhll.1137187.0 +3 -0
- README.md +103 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scaler.pt +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-1200/optimizer.bin +3 -0
- checkpoint-1200/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1200/random_states_0.pkl +3 -0
- checkpoint-1200/scaler.pt +3 -0
- checkpoint-1200/scheduler.bin +3 -0
- checkpoint-1400/optimizer.bin +3 -0
- checkpoint-1400/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1400/random_states_0.pkl +3 -0
- checkpoint-1400/scaler.pt +3 -0
- checkpoint-1400/scheduler.bin +3 -0
- checkpoint-1600/optimizer.bin +3 -0
- checkpoint-1600/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1600/random_states_0.pkl +3 -0
- checkpoint-1600/scaler.pt +3 -0
- checkpoint-1600/scheduler.bin +3 -0
- checkpoint-200/optimizer.bin +3 -0
- checkpoint-200/pytorch_lora_weights.safetensors +3 -0
- checkpoint-200/random_states_0.pkl +3 -0
- checkpoint-200/scaler.pt +3 -0
- checkpoint-200/scheduler.bin +3 -0
- checkpoint-400/optimizer.bin +3 -0
- checkpoint-400/pytorch_lora_weights.safetensors +3 -0
- checkpoint-400/random_states_0.pkl +3 -0
- checkpoint-400/scaler.pt +3 -0
- checkpoint-400/scheduler.bin +3 -0
- checkpoint-600/optimizer.bin +3 -0
- checkpoint-600/pytorch_lora_weights.safetensors +3 -0
- checkpoint-600/random_states_0.pkl +3 -0
- checkpoint-600/scaler.pt +3 -0
- checkpoint-600/scheduler.bin +3 -0
- checkpoint-800/optimizer.bin +3 -0
- checkpoint-800/pytorch_lora_weights.safetensors +3 -0
- checkpoint-800/random_states_0.pkl +3 -0
- checkpoint-800/scaler.pt +3 -0
- checkpoint-800/scheduler.bin +3 -0
- image_0.png +3 -0
- image_1.png +3 -0
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README.md
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---
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+
license: openrail++
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library_name: diffusers
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tags:
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- text-to-image
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- text-to-image
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- diffusers-training
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- diffusers
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- lora
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- template:sd-lora
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- stable-diffusion-xl
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- stable-diffusion-xl-diffusers
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: '"a mth Deborah 60 in. W x 22 in. D Vanity in White with Marble Vanity
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Top in Carrara White with White Basin"'
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widget:
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- text: '"a mth Deborah 60 in. W x 22 in. D Vanity in White with Marble Vanity Top
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in Carrara White with White Basin"'
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output:
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url: image_0.png
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- text: '"a mth Deborah 60 in. W x 22 in. D Vanity in White with Marble Vanity Top
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in Carrara White with White Basin"'
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output:
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url: image_1.png
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- text: '"a mth Deborah 60 in. W x 22 in. D Vanity in White with Marble Vanity Top
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in Carrara White with White Basin"'
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output:
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url: image_2.png
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- text: '"a mth Deborah 60 in. W x 22 in. D Vanity in White with Marble Vanity Top
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in Carrara White with White Basin"'
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output:
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url: image_3.png
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+
- text: '"a mth Deborah 60 in. W x 22 in. D Vanity in White with Marble Vanity Top
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in Carrara White with White Basin"'
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output:
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url: image_4.png
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- text: '"a mth Deborah 60 in. W x 22 in. D Vanity in White with Marble Vanity Top
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in Carrara White with White Basin"'
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output:
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url: image_5.png
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+
- text: '"a mth Deborah 60 in. W x 22 in. D Vanity in White with Marble Vanity Top
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in Carrara White with White Basin"'
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+
output:
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url: image_6.png
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- text: '"a mth Deborah 60 in. W x 22 in. D Vanity in White with Marble Vanity Top
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in Carrara White with White Basin"'
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output:
|
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url: image_7.png
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+
- text: '"a mth Deborah 60 in. W x 22 in. D Vanity in White with Marble Vanity Top
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in Carrara White with White Basin"'
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output:
|
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url: image_8.png
|
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- text: '"a mth Deborah 60 in. W x 22 in. D Vanity in White with Marble Vanity Top
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in Carrara White with White Basin"'
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output:
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url: image_9.png
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+
---
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+
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+
<!-- This model card has been generated automatically according to the information the training script had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# SDXL LoRA DreamBooth - minhaohan/302272742
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<Gallery />
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## Model description
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These are minhaohan/302272742 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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The weights were trained using [DreamBooth](https://dreambooth.github.io/).
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LoRA for the text encoder was enabled: True.
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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## Trigger words
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You should use "a mth Deborah 60 in. W x 22 in. D Vanity in White with Marble Vanity Top in Carrara White with White Basin" to trigger the image generation.
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](minhaohan/302272742/tree/main) them in the Files & versions tab.
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## Intended uses & limitations
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#### How to use
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```python
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# TODO: add an example code snippet for running this diffusion pipeline
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```
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#### Limitations and bias
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+
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[TODO: provide examples of latent issues and potential remediations]
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## Training details
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[TODO: describe the data used to train the model]
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Git LFS Details
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