Model card auto-generated by SimpleTuner

README.md

@@ -30,10 +30,10 @@ A smiling girl whose name is Seoyeon.
 ## Validation settings
 - CFG: `3.5`
 - CFG Rescale: `0.0`
-- Steps: `30`
+- Steps: `28`
 - Sampler: `None`
 - Seed: `42`
-- Resolution: `512`
+- Resolution: `1024`
 
 Note: The validation settings are not necessarily the same as the [training settings](#training-settings).
 
@@ -48,9 +48,9 @@ You may reuse the base model text encoder for inference.
 
 ## Training settings
 
-- Training epochs: 1999
-- Training steps: 2000
-- Learning rate: 1e-05
+- Training epochs: 4999
+- Training steps: 5000
+- Learning rate: 0.0001
 - Effective batch size: 4
   - Micro-batch size: 1
   - Gradient accumulation steps: 2
@@ -72,7 +72,7 @@ You may reuse the base model text encoder for inference.
 - Repeats: 0
 - Total number of images: ~4
 - Total number of aspect buckets: 1
-- Resolution: 512 px
+- Resolution: 1024 px
 - Cropped: True
 - Crop style: center
 - Crop aspect: square
@@ -96,10 +96,10 @@ prompt = "A smiling girl whose name is Seoyeon."
 pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')
 image = pipeline(
     prompt=prompt,
-    num_inference_steps=30,
+    num_inference_steps=28,
     generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
-    width=512,
-    height=512,
+    width=1024,
+    height=1024,
     guidance_scale=3.5,
 ).images[0]
 image.save("output.png", format="PNG")