End of training

README.md

@@ -1,3 +1,4 @@
+
 ---
 license: creativeml-openrail-m
 base_model: runwayml/stable-diffusion-v1-5
@@ -8,20 +9,25 @@ tags:
 - diffusers
 - lora
 inference: true
-datasets:
-- iamkaikai/amazing_logos
-pipeline_tag: text-to-image
 ---
+ 
+# LoRA text2image fine-tuning - iamkaikai/amazing-logos-lora
+These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the iamkaikai/amazing_logos dataset. You can find some example images in the following. 
 
-# Prompt format 
-
-[template keywords] + [company name] + [concept & country] + [template keywords]
-
-example: {Simple elegant logo for a} **[Google]**, **[G circle United states]**, {successful vibe, minimalist, thought-provoking, abstract, recognizable}
-
-- Simple elegant logo for a **Digital Art**, **D A circle**, successful vibe, minimalist, thought-provoking, abstract, recognizable
-- Simple elegant logo for a **3M Technology Products**, **3 M United states**, successful vibe, minimalist, thought-provoking, abstract, recognizable
-- Simple elegant logo for a **38Energy**, **Circle Dot Drop Fire Flame United kingdom Water**, successful vibe, minimalist, thought provoking, abstract, recognizable, relatable, sharp, vector art, even edges
-
+![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)
+![img_12](./image_12.png)
+![img_13](./image_13.png)
+![img_14](./image_14.png)
+![img_15](./image_15.png)
 
-![img](./preview.png)

checkpoint-2250/optimizer.bin

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checkpoint-2250/scaler.pt

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pytorch_lora_weights.bin

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