Model card auto-generated by SimpleTuner

README.md

@@ -329,11 +329,11 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 0
-- Training steps: 40000
+- Training steps: 45000
 - Learning rate: 5e-05
   - Learning rate schedule: constant_with_warmup
   - Warmup steps: 10000
-- Max grad norm: 1.0
+- Max grad norm: 0.1
 - Effective batch size: 12
   - Micro-batch size: 4
   - Gradient accumulation steps: 1
@@ -386,7 +386,7 @@ You may reuse the base model text encoder for inference.
 ### signs
 - Repeats: 150
 - Total number of images: ~420
-- Total number of aspect buckets: 4
+- Total number of aspect buckets: 3
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None
@@ -395,7 +395,7 @@ You may reuse the base model text encoder for inference.
 ### moviecollection
 - Repeats: 0
 - Total number of images: ~1983
-- Total number of aspect buckets: 25
+- Total number of aspect buckets: 34
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None
@@ -413,7 +413,7 @@ You may reuse the base model text encoder for inference.
 ### shutterstock
 - Repeats: 0
 - Total number of images: ~21111
-- Total number of aspect buckets: 9
+- Total number of aspect buckets: 33
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None
@@ -422,16 +422,7 @@ You may reuse the base model text encoder for inference.
 ### cinemamix-1mp
 - Repeats: 0
 - Total number of images: ~7425
-- Total number of aspect buckets: 1
-- Resolution: 1.048576 megapixels
-- Cropped: False
-- Crop style: None
-- Crop aspect: None
-- Used for regularisation data: No
-### anatomy
-- Repeats: 5
-- Total number of images: ~16440
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 5
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None