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README.md

@@ -55,16 +55,16 @@ You may reuse the base model text encoder for inference.
 
 ## Training settings
 
-- Training epochs: 209
-- Training steps: 2100
+- Training epochs: 1
+- Training steps: 50
 - Learning rate: 0.0001
   - Learning rate schedule: constant
   - Warmup steps: 500
 - Max grad value: 2.0
-- 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: True
 - Prediction type: flow_matching (extra parameters=['shift=3.0', 'flux_guidance_mode=constant', 'flux_guidance_value=1.0', 'flux_lora_target=controlnet'])
 - Optimizer: adamw_bf16
@@ -83,7 +83,7 @@ You may reuse the base model text encoder for inference.
 
 ### antelope-data-256
 - Repeats: 0
-- Total number of images: ~30
+- Total number of images: 29
 - Total number of aspect buckets: 1
 - Resolution: 0.065536 megapixels
 - Cropped: True