End of training
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- .gitattributes +4 -0
- README.md +27 -0
- checkpoint-100/optimizer.bin +3 -0
- checkpoint-100/pytorch_lora_weights.safetensors +3 -0
- checkpoint-100/random_states_0.pkl +3 -0
- checkpoint-100/scaler.pt +3 -0
- checkpoint-100/scheduler.bin +3 -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
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- checkpoint-10000/optimizer.bin +3 -0
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- checkpoint-10000/scheduler.bin +3 -0
- checkpoint-10100/optimizer.bin +3 -0
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- checkpoint-10100/random_states_0.pkl +3 -0
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- checkpoint-10200/optimizer.bin +3 -0
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- checkpoint-10200/scaler.pt +3 -0
- checkpoint-10200/scheduler.bin +3 -0
- checkpoint-10300/optimizer.bin +3 -0
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- checkpoint-10400/optimizer.bin +3 -0
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- checkpoint-10500/optimizer.bin +3 -0
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- checkpoint-10600/optimizer.bin +3 -0
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- checkpoint-10600/scaler.pt +3 -0
- checkpoint-10600/scheduler.bin +3 -0
- checkpoint-10700/optimizer.bin +3 -0
- checkpoint-10700/pytorch_lora_weights.safetensors +3 -0
- checkpoint-10700/random_states_0.pkl +3 -0
.gitattributes
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@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: creativeml-openrail-m
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base_model: segmind/SSD-1B
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dataset: rjaiswal/watches-plus-3D-views-dataset
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tags:
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- stable-diffusion-xl
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- stable-diffusion-xl-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 text2image fine-tuning - rjaiswal/segmind-1B-watches-model-lora
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These are LoRA adaption weights for segmind/SSD-1B. The weights were fine-tuned on the rjaiswal/watches-plus-3D-views-dataset dataset. 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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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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