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README.md

@@ -709,13 +709,13 @@ You may reuse the base model text encoder for inference.
 
 ## Training settings
 
-- Training epochs: 2
+- Training epochs: 1
 - Training steps: 500
 - Learning rate: 8e-06
-- Effective batch size: 6
+- Effective batch size: 4
   - Micro-batch size: 2
   - Gradient accumulation steps: 1
-  - Number of GPUs: 3
+  - Number of GPUs: 2
 - Prediction type: flow-matching
 - Rescaled betas zero SNR: False
 - Optimizer: optimi-lionweight_decay=1e-3
@@ -751,16 +751,16 @@ You may reuse the base model text encoder for inference.
 
 ### cheechandchong-512
 - Repeats: 10
-- Total number of images: ~24
-- Total number of aspect buckets: 5
+- Total number of images: ~22
+- Total number of aspect buckets: 3
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
 - Crop aspect: None
 ### cheechandchong-1024
 - Repeats: 10
-- Total number of images: ~30
-- Total number of aspect buckets: 5
+- Total number of images: ~22
+- Total number of aspect buckets: 8
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None