Model card auto-generated by SimpleTuner

README.md

@@ -44,7 +44,7 @@ a tapedeck with a sakura flower design
 - Steps: `20`
 - Sampler: `None`
 - Seed: `345533`
-- Resolution: `1024x1024`
+- Resolution: `800x509`
 
 Note: The validation settings are not necessarily the same as the [training settings](#training-settings).
 
@@ -60,7 +60,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 0
-- Training steps: 100
+- Training steps: 200
 - Learning rate: 0.0005
 - Effective batch size: 2
   - Micro-batch size: 2
@@ -117,7 +117,7 @@ You may reuse the base model text encoder for inference.
 - Crop aspect: None
 ### tapedeck-512-crop
 - Repeats: 5
-- Total number of images: 484
+- Total number of images: 528
 - Total number of aspect buckets: 1
 - Resolution: 0.262144 megapixels
 - Cropped: True
@@ -154,8 +154,8 @@ image = pipeline(
     prompt=prompt,
     num_inference_steps=20,
     generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
-    width=1024,
-    height=1024,
+    width=800,
+    height=509,
     guidance_scale=3.0,
 ).images[0]
 image.save("output.png", format="PNG")