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End of training
Browse files- README.md +25 -0
- SD-Dog-Test6.log +37 -0
- checkpoint-10/optimizer.bin +3 -0
- checkpoint-10/pytorch_lora_weights.safetensors +3 -0
- checkpoint-10/random_states_0.pkl +3 -0
- checkpoint-10/scheduler.bin +3 -0
- checkpoint-5/optimizer.bin +3 -0
- checkpoint-5/pytorch_lora_weights.safetensors +3 -0
- checkpoint-5/random_states_0.pkl +3 -0
- checkpoint-5/scheduler.bin +3 -0
- image_0.png +0 -0
- image_1.png +0 -0
- image_2.png +0 -0
- image_3.png +0 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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---
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license: creativeml-openrail-m
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base_model: runwayml/stable-diffusion-v1-5
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instance_prompt: a photo of sks dog
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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- lora
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inference: true
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---
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# LoRA DreamBooth - zeerakwyne/SD-Dog-Test6
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These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of sks dog using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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![img_0](./image_0.png)
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![img_1](./image_1.png)
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![img_2](./image_2.png)
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![img_3](./image_3.png)
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LoRA for the text encoder was enabled: False.
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SD-Dog-Test6.log
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10/15/2023 14:32:28 - INFO - app - Distributed environment: NO
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Num processes: 1
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Process index: 0
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Local process index: 0
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Device: cuda
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Mixed precision type: no
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10/15/2023 14:32:33 - INFO - app - Num examples = 5
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10/15/2023 14:32:33 - INFO - app - Num batches each epoch = 5
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10/15/2023 14:32:33 - INFO - app - Num Epochs = 2
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10/15/2023 14:32:33 - INFO - app - Instantaneous batch size per device = 1
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10/15/2023 14:32:33 - INFO - app - Total train batch size (w. parallel, distributed & accumulation) = 1
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10/15/2023 14:32:33 - INFO - app - Gradient Accumulation steps = 1
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10/15/2023 14:32:33 - INFO - app - Training Steps = 10
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10/15/2023 14:32:34 - INFO - app - STEP = 1
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10/15/2023 14:32:41 - INFO - app - STEP = 2
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10/15/2023 14:32:48 - INFO - app - STEP = 3
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10/15/2023 14:32:54 - INFO - app - STEP = 4
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10/15/2023 14:33:01 - INFO - app - STEP = 5
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10/15/2023 14:33:07 - INFO - accelerate.accelerator - Saving current state to models/SD-Dog-Test6/checkpoint-5
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10/15/2023 14:33:07 - INFO - accelerate.checkpointing - Optimizer state saved in models/SD-Dog-Test6/checkpoint-5/optimizer.bin
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10/15/2023 14:33:07 - INFO - accelerate.checkpointing - Scheduler state saved in models/SD-Dog-Test6/checkpoint-5/scheduler.bin
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10/15/2023 14:33:07 - INFO - accelerate.checkpointing - Random states saved in models/SD-Dog-Test6/checkpoint-5/random_states_0.pkl
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10/15/2023 14:33:07 - INFO - app - Saved state to models/SD-Dog-Test6/checkpoint-5
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10/15/2023 14:33:07 - INFO - app - Running validation...
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Generating 4 images with prompt: A photo of sks dog in a bucket.
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10/15/2023 14:33:33 - INFO - app - STEP = 6
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10/15/2023 14:33:40 - INFO - app - STEP = 7
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10/15/2023 14:33:47 - INFO - app - STEP = 8
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10/15/2023 14:33:53 - INFO - app - STEP = 9
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10/15/2023 14:34:00 - INFO - app - STEP = 10
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10/15/2023 14:34:06 - INFO - accelerate.accelerator - Saving current state to models/SD-Dog-Test6/checkpoint-10
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10/15/2023 14:34:06 - INFO - accelerate.checkpointing - Optimizer state saved in models/SD-Dog-Test6/checkpoint-10/optimizer.bin
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10/15/2023 14:34:06 - INFO - accelerate.checkpointing - Scheduler state saved in models/SD-Dog-Test6/checkpoint-10/scheduler.bin
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10/15/2023 14:34:06 - INFO - accelerate.checkpointing - Random states saved in models/SD-Dog-Test6/checkpoint-10/random_states_0.pkl
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10/15/2023 14:34:06 - INFO - app - Saved state to models/SD-Dog-Test6/checkpoint-10
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checkpoint-10/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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size 6591685
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checkpoint-10/pytorch_lora_weights.safetensors
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checkpoint-10/random_states_0.pkl
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checkpoint-10/scheduler.bin
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checkpoint-5/optimizer.bin
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checkpoint-5/pytorch_lora_weights.safetensors
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checkpoint-5/random_states_0.pkl
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checkpoint-5/scheduler.bin
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image_0.png
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image_1.png
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image_2.png
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pytorch_lora_weights.safetensors
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