End of training

README.md

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+
+---
+license: creativeml-openrail-m
+base_model: CompVis/stable-diffusion-v1-4
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- lora
+inference: true
+---
+    
+# LoRA text2image fine-tuning - ZavGeorge/SD_1.4_simpson_tune_lora_v1
+These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were fine-tuned on the Norod78/simpsons-blip-captions 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)
+

checkpoint-1000/optimizer.bin

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checkpoint-1000/pytorch_model.bin

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checkpoint-1000/random_states_0.pkl

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checkpoint-1000/scaler.pt

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checkpoint-1000/scheduler.bin

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pytorch_lora_weights.bin

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