End of training

README.md

@@ -9,28 +9,28 @@ tags:
 - template:sd-lora
 widget:
 
-        - text: 'A high, craggy cliff overlooking the ocean at sunset, with the mpi logo painted on a flat stone surface, facing the vast, open sea.'
+        - text: 'A qwe mug is on the edge of an ice-covered lake in a winter wonderland, with snow-covered trees and clear, starry night.'
           output:
             url:
                 "image_0.png"
         
-        - text: 'A high, craggy cliff overlooking the ocean at sunset, with the mpi logo painted on a flat stone surface, facing the vast, open sea.'
+        - text: 'A qwe mug is on the edge of an ice-covered lake in a winter wonderland, with snow-covered trees and clear, starry night.'
           output:
             url:
                 "image_1.png"
         
-        - text: 'A high, craggy cliff overlooking the ocean at sunset, with the mpi logo painted on a flat stone surface, facing the vast, open sea.'
+        - text: 'A qwe mug is on the edge of an ice-covered lake in a winter wonderland, with snow-covered trees and clear, starry night.'
           output:
             url:
                 "image_2.png"
         
-        - text: 'A high, craggy cliff overlooking the ocean at sunset, with the mpi logo painted on a flat stone surface, facing the vast, open sea.'
+        - text: 'A qwe mug is on the edge of an ice-covered lake in a winter wonderland, with snow-covered trees and clear, starry night.'
           output:
             url:
                 "image_3.png"
         
 base_model: stabilityai/stable-diffusion-xl-base-1.0
-instance_prompt: a photo of sks logo
+instance_prompt: a photo of sks mug
 license: openrail++
 ---
     
@@ -50,7 +50,7 @@ Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
 
 ## Trigger words
 
-You should use a photo of sks logo to trigger the image generation.
+You should use a photo of sks mug to trigger the image generation.
 
 ## Download model
 

checkpoint-1000/optimizer.bin

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checkpoint-1000/pytorch_lora_weights.safetensors

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checkpoint-1000/random_states_0.pkl

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checkpoint-500/optimizer.bin

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pytorch_lora_weights.safetensors

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