Trained for 0 epochs and 2000 steps.

Trained with datasets ['text-embeds', 'text-embeds-extra', 'image-embeds', 'sports', 'mj-60', 'id-75k', 'celebrities', 'normalnudes', 'guys', 'signs', 'dalle3', 'sfwbooru', 'moviecollection', 'bookcovers', 'nijijourney', 'experimental', 'ethnic', 'gay', 'architecture', 'shutterstock', 'midjourney-v6-520k-raw', 'nijijourney-v6-520k-raw', 'cinemamix-1mp', 'nsfw-1024', 'anatomy', 'bg20k-1024', 'yoga', 'photo-aesthetics', 'text-1mp']
Learning rate 1e-06, batch size 8, and 1 gradient accumulation steps.
Used DDPM noise scheduler for training with epsilon prediction type and rescaled_betas_zero_snr=False
Using 'linspace' timestep spacing.
Base model: ptx0/pixart-900m-1024-ft-v0.7-stage1
VAE: ptx0/pixart-900m-1024-ft-v0.7-stage1

README.md

@@ -47,7 +47,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 0
-- Training steps: 1000
+- Training steps: 2000
 - Learning rate: 1e-06
 - Effective batch size: 64
   - Micro-batch size: 8
@@ -121,7 +121,7 @@ You may reuse the base model text encoder for inference.
 ### dalle3
 - Repeats: 0
 - Total number of images: ~1125504
-- Total number of aspect buckets: 11
+- Total number of aspect buckets: 7
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None
@@ -129,7 +129,7 @@ You may reuse the base model text encoder for inference.
 ### sfwbooru
 - Repeats: 0
 - Total number of images: ~490688
-- Total number of aspect buckets: 66
+- Total number of aspect buckets: 57
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None
@@ -193,7 +193,7 @@ You may reuse the base model text encoder for inference.
 ### shutterstock
 - Repeats: 0
 - Total number of images: ~20288
-- Total number of aspect buckets: 11
+- Total number of aspect buckets: 4
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None
@@ -217,7 +217,7 @@ You may reuse the base model text encoder for inference.
 ### cinemamix-1mp
 - Repeats: 0
 - Total number of images: ~7296
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 5
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None
@@ -233,7 +233,7 @@ You may reuse the base model text encoder for inference.
 ### anatomy
 - Repeats: 5
 - Total number of images: ~15872
-- Total number of aspect buckets: 8
+- Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None
@@ -241,7 +241,7 @@ You may reuse the base model text encoder for inference.
 ### bg20k-1024
 - Repeats: 0
 - Total number of images: ~88448
-- Total number of aspect buckets: 15
+- Total number of aspect buckets: 10
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None
@@ -249,7 +249,7 @@ You may reuse the base model text encoder for inference.
 ### yoga
 - Repeats: 0
 - Total number of images: ~3136
-- Total number of aspect buckets: 2
+- Total number of aspect buckets: 14
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None
@@ -257,7 +257,7 @@ You may reuse the base model text encoder for inference.
 ### photo-aesthetics
 - Repeats: 0
 - Total number of images: ~32576
-- Total number of aspect buckets: 5
+- Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None

optimizer.bin

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random_states_0.pkl

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scheduler.bin

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training_state-architecture.json

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