tangjs commited on Aug 27, 2023

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f3db468

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1 Parent(s): ea3d571

End of training

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README.md +12 -10
checkpoint-1000/optimizer.bin +2 -2
checkpoint-1000/random_states_0.pkl +1 -1
checkpoint-10000/optimizer.bin +2 -2
checkpoint-10000/optimizer_1.bin +1 -1
checkpoint-10000/pytorch_model.bin +1 -1
checkpoint-10000/random_states_0.pkl +1 -1
checkpoint-10500/optimizer.bin +2 -2
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checkpoint-10500/pytorch_model.bin +1 -1
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checkpoint-11000/optimizer.bin +2 -2
checkpoint-11000/optimizer_1.bin +1 -1
checkpoint-11000/pytorch_model.bin +1 -1
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checkpoint-11500/optimizer.bin +2 -2
checkpoint-11500/optimizer_1.bin +1 -1
checkpoint-11500/pytorch_model.bin +1 -1
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checkpoint-12000/optimizer.bin +2 -2
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checkpoint-12000/pytorch_model.bin +1 -1
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checkpoint-12500/optimizer.bin +2 -2
checkpoint-12500/optimizer_1.bin +1 -1
checkpoint-12500/pytorch_model.bin +1 -1
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checkpoint-13500/optimizer.bin +2 -2
checkpoint-13500/optimizer_1.bin +1 -1
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checkpoint-14000/optimizer.bin +2 -2
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checkpoint-14000/pytorch_model.bin +1 -1
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checkpoint-15000/optimizer.bin +2 -2
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README.md CHANGED Viewed

@@ -1,11 +1,10 @@
 ---
 license: creativeml-openrail-m
-base_model: stabilityai/stable-diffusion-xl-base-1.0
-dataset: None
 tags:
-- stable-diffusion-xl
-- stable-diffusion-xl-diffusers
 - text-to-image
 - diffusers
 - lora
@@ -13,15 +12,18 @@ inference: true
 ---
 # LoRA text2image fine-tuning - tangjs/uv-lora
-These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were fine-tuned on the None 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.

 ---
 license: creativeml-openrail-m
+base_model: runwayml/stable-diffusion-v1-5
 tags:
+- stable-diffusion
+- stable-diffusion-diffusers
 - text-to-image
 - diffusers
 - lora
 ---
 # LoRA text2image fine-tuning - tangjs/uv-lora
+These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the None 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)
+![img_4](./image_4.png)
+![img_5](./image_5.png)
+![img_6](./image_6.png)
+![img_7](./image_7.png)
+![img_8](./image_8.png)
+![img_9](./image_9.png)
+![img_10](./image_10.png)
+![img_11](./image_11.png)

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