Trained for 0 epochs and 9600 steps.

Trained with datasets ['text-embeds-sdxl-nofilter', 'dalle3', 'photo-concept-bucket']
Learning rate 4e-07, batch size 32, and 2 gradient accumulation steps.
Used DDPM noise scheduler for training with v_prediction prediction type and rescaled_betas_zero_snr=True
Using 'trailing' timestep spacing.
Base model: ptx0/terminus-xl-velocity-v2
VAE: madebyollin/sdxl-vae-fp16-fix

README.md

@@ -44,11 +44,11 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 0
-- Training steps: 9500
+- Training steps: 9600
 - Learning rate: 4e-07
 - Effective batch size: 512
-  - Micro-batch size: 16
-  - Gradient accumulation steps: 4
+  - Micro-batch size: 32
+  - Gradient accumulation steps: 2
   - Number of GPUs: 8
 - Prediction type: v_prediction
 - Rescaled betas zero SNR: True
@@ -62,7 +62,7 @@ You may reuse the base model text encoder for inference.
 ### dalle3
 - Repeats: 0
 - Total number of images: ~461848
-- Total number of aspect buckets: 27
+- Total number of aspect buckets: 21
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None

optimizer.bin

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random_states_0.pkl

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+size 16100

scheduler.bin

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training_state-photo-concept-bucket.json

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training_state.json

@@ -1 +1 @@
-{"global_step": 9500, "epoch_step": 2231, "epoch": 1, "exhausted_backends": ["celebrities", "pixel-art", "movieposters", "moviecollection", "training-test", "photo-concept-bucket"], "repeats": {"celebrities": 0, "pixel-art": 0, "movieposters": 0, "moviecollection": 0, "training-test": 0, "dalle3": 1, "photo-concept-bucket": 0}}
+{"global_step": 9600, "epoch_step": 1215, "epoch": 1, "exhausted_backends": ["celebrities", "pixel-art", "movieposters", "moviecollection", "training-test", "photo-concept-bucket"], "repeats": {"celebrities": 0, "pixel-art": 0, "movieposters": 0, "moviecollection": 0, "training-test": 0, "dalle3": 1, "photo-concept-bucket": 0}}

unet/config.json

@@ -1,7 +1,7 @@
 {
   "_class_name": "UNet2DConditionModel",
   "_diffusers_version": "0.29.0.dev0",
-  "_name_or_path": "/home/user/training/lite-models/checkpoint-9000",
+  "_name_or_path": "/home/user/training/lite-models/checkpoint-9500",
   "act_fn": "silu",
   "addition_embed_type": "text_time",
   "addition_embed_type_num_heads": 64,

unet/diffusion_pytorch_model.safetensors

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