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README.md

@@ -55,16 +55,16 @@ You may reuse the base model text encoder for inference.
 
 ## Training settings
 
-- Training epochs: 224
-- Training steps: 450
+- Training epochs: 8
+- Training steps: 50
 - Learning rate: 0.0001
   - Learning rate schedule: constant
   - Warmup steps: 500
 - Max grad value: 0.01
-- Effective batch size: 3
+- Effective batch size: 1
   - Micro-batch size: 1
   - Gradient accumulation steps: 1
-  - Number of GPUs: 3
+  - Number of GPUs: 1
 - Gradient checkpointing: False
 - Prediction type: epsilon (extra parameters=['training_scheduler_timestep_spacing=trailing', 'inference_scheduler_timestep_spacing=trailing', 'controlnet_enabled'])
 - Optimizer: adamw_bf16
@@ -83,7 +83,7 @@ You may reuse the base model text encoder for inference.
 
 ### antelope-data-1024
 - Repeats: 0
-- Total number of images: ~6
+- Total number of images: 6
 - Total number of aspect buckets: 1
 - Resolution: 1.048576 megapixels
 - Cropped: True