PseudoTerminal X commited on Jun 3, 2024

Commit

edd5c1a

verified ·

1 Parent(s): 1b6b979

Trained for 0 epochs and 4300 steps.

Trained with datasets ['text-embeds-sdxl', 'photocb-clip-embeds', 'celebrities', 'movieposters', 'normalnudes', 'propagandaposters', 'guys', 'pixel-art', 'signs', 'moviecollection', 'bookcovers', 'nijijourney', 'experimental', 'ethnic', 'sports', 'gay', 'architecture', 'shutterstock', 'cinemamix-1mp', 'nsfw-1024', 'anatomy', 'bg20k-1024', 'yoga', 'photo-aesthetics', 'text-1mp', 'photo-concept-bucket']
Learning rate 4e-07, batch size 8, and 4 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-v1
VAE: madebyollin/sdxl-vae-fp16-fix

Files changed (31) hide show

README.md +34 -34
optimizer.bin +1 -1
random_states_0.pkl +1 -1
scheduler.bin +1 -1
training_state-anatomy.json +2 -2
training_state-architecture.json +2 -2
training_state-bg20k-1024.json +2 -2
training_state-bookcovers.json +2 -2
training_state-celebrities.json +2 -2
training_state-cinemamix-1mp.json +2 -2
training_state-ethnic.json +2 -2
training_state-experimental.json +2 -2
training_state-gay.json +2 -2
training_state-guys.json +2 -2
training_state-moviecollection.json +2 -2
training_state-movieposters.json +2 -2
training_state-nijijourney.json +2 -2
training_state-normalnudes.json +2 -2
training_state-nsfw-1024.json +2 -2
training_state-photo-aesthetics.json +2 -2
training_state-photo-concept-bucket.json +2 -2
training_state-pixel-art.json +2 -2
training_state-propagandaposters.json +2 -2
training_state-shutterstock.json +2 -2
training_state-signs.json +2 -2
training_state-sports.json +2 -2
training_state-text-1mp.json +2 -2
training_state-yoga.json +2 -2
training_state.json +2 -2
unet/config.json +1 -1
unet/diffusion_pytorch_model.safetensors +1 -1

README.md CHANGED Viewed

@@ -44,11 +44,11 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 - Training epochs: 0
-- Training steps: 3400
 - Learning rate: 4e-07
-- Effective batch size: 8
   - Micro-batch size: 8
-  - Gradient accumulation steps: 1
 - Prediction type: v_prediction
 - Rescaled betas zero SNR: True
 - Optimizer: AdamW, stochastic bf16
@@ -59,24 +59,24 @@ You may reuse the base model text encoder for inference.
 ## Datasets
 ### celebrities
-- Repeats: 0
-- Total number of images: 1240
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop style: random
 - Crop aspect: random
 ### movieposters
-- Repeats: 0
-- Total number of images: 1736
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop style: random
 - Crop aspect: random
 ### normalnudes
-- Repeats: 0
-- Total number of images: 1112
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
@@ -84,15 +84,15 @@ You may reuse the base model text encoder for inference.
 - Crop aspect: random
 ### propagandaposters
 - Repeats: 0
-- Total number of images: 648
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop style: random
 - Crop aspect: random
 ### guys
-- Repeats: 0
-- Total number of images: 384
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
@@ -100,15 +100,15 @@ You may reuse the base model text encoder for inference.
 - Crop aspect: random
 ### pixel-art
 - Repeats: 0
-- Total number of images: 1056
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop style: random
 - Crop aspect: random
 ### signs
-- Repeats: 0
-- Total number of images: 392
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
@@ -116,15 +116,15 @@ You may reuse the base model text encoder for inference.
 - Crop aspect: random
 ### moviecollection
 - Repeats: 0
-- Total number of images: 1912
-- Total number of aspect buckets: 2
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop style: random
 - Crop aspect: random
 ### bookcovers
 - Repeats: 0
-- Total number of images: 808
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
@@ -132,7 +132,7 @@ You may reuse the base model text encoder for inference.
 - Crop aspect: random
 ### nijijourney
 - Repeats: 0
-- Total number of images: 648
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
@@ -140,7 +140,7 @@ You may reuse the base model text encoder for inference.
 - Crop aspect: random
 ### experimental
 - Repeats: 0
-- Total number of images: 3048
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
@@ -148,7 +148,7 @@ You may reuse the base model text encoder for inference.
 - Crop aspect: random
 ### ethnic
 - Repeats: 0
-- Total number of images: 3080
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
@@ -156,7 +156,7 @@ You may reuse the base model text encoder for inference.
 - Crop aspect: random
 ### sports
 - Repeats: 0
-- Total number of images: 792
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
@@ -164,7 +164,7 @@ You may reuse the base model text encoder for inference.
 - Crop aspect: random
 ### gay
 - Repeats: 0
-- Total number of images: 1104
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
@@ -172,7 +172,7 @@ You may reuse the base model text encoder for inference.
 - Crop aspect: random
 ### architecture
 - Repeats: 0
-- Total number of images: 4352
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
@@ -180,7 +180,7 @@ You may reuse the base model text encoder for inference.
 - Crop aspect: random
 ### shutterstock
 - Repeats: 0
-- Total number of images: 21088
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
@@ -188,7 +188,7 @@ You may reuse the base model text encoder for inference.
 - Crop aspect: random
 ### cinemamix-1mp
 - Repeats: 0
-- Total number of images: 9024
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
@@ -196,7 +196,7 @@ You may reuse the base model text encoder for inference.
 - Crop aspect: random
 ### nsfw-1024
 - Repeats: 0
-- Total number of images: 10800
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
@@ -204,7 +204,7 @@ You may reuse the base model text encoder for inference.
 - Crop aspect: random
 ### anatomy
 - Repeats: 5
-- Total number of images: 16408
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
@@ -212,7 +212,7 @@ You may reuse the base model text encoder for inference.
 - Crop aspect: random
 ### bg20k-1024
 - Repeats: 0
-- Total number of images: 89296
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
@@ -220,15 +220,15 @@ You may reuse the base model text encoder for inference.
 - Crop aspect: random
 ### yoga
 - Repeats: 0
-- Total number of images: 3608
-- Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop style: random
 - Crop aspect: random
 ### photo-aesthetics
 - Repeats: 0
-- Total number of images: 33144
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
@@ -236,7 +236,7 @@ You may reuse the base model text encoder for inference.
 - Crop aspect: random
 ### text-1mp
 - Repeats: 5
-- Total number of images: 13184
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
@@ -244,7 +244,7 @@ You may reuse the base model text encoder for inference.
 - Crop aspect: random
 ### photo-concept-bucket
 - Repeats: 0
-- Total number of images: 567568
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True

 ## Training settings
 - Training epochs: 0
+- Training steps: 4300
 - Learning rate: 4e-07
+- Effective batch size: 32
   - Micro-batch size: 8
+  - Gradient accumulation steps: 4
 - Prediction type: v_prediction
 - Rescaled betas zero SNR: True
 - Optimizer: AdamW, stochastic bf16
 ## Datasets
 ### celebrities
+- Repeats: 4
+- Total number of images: 1184
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop style: random
 - Crop aspect: random
 ### movieposters
+- Repeats: 5
+- Total number of images: 1728
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop style: random
 - Crop aspect: random
 ### normalnudes
+- Repeats: 5
+- Total number of images: 1056
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop aspect: random
 ### propagandaposters
 - Repeats: 0
+- Total number of images: 608
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop style: random
 - Crop aspect: random
 ### guys
+- Repeats: 5
+- Total number of images: 352
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop aspect: random
 ### pixel-art
 - Repeats: 0
+- Total number of images: 1024
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop style: random
 - Crop aspect: random
 ### signs
+- Repeats: 5
+- Total number of images: 352
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop aspect: random
 ### moviecollection
 - Repeats: 0
+- Total number of images: 1888
+- Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop style: random
 - Crop aspect: random
 ### bookcovers
 - Repeats: 0
+- Total number of images: 736
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop aspect: random
 ### nijijourney
 - Repeats: 0
+- Total number of images: 608
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop aspect: random
 ### experimental
 - Repeats: 0
+- Total number of images: 3042
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop aspect: random
 ### ethnic
 - Repeats: 0
+- Total number of images: 3076
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop aspect: random
 ### sports
 - Repeats: 0
+- Total number of images: 736
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop aspect: random
 ### gay
 - Repeats: 0
+- Total number of images: 1056
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop aspect: random
 ### architecture
 - Repeats: 0
+- Total number of images: 4324
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop aspect: random
 ### shutterstock
 - Repeats: 0
+- Total number of images: 21059
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop aspect: random
 ### cinemamix-1mp
 - Repeats: 0
+- Total number of images: 9009
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop aspect: random
 ### nsfw-1024
 - Repeats: 0
+- Total number of images: 10761
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop aspect: random
 ### anatomy
 - Repeats: 5
+- Total number of images: 16385
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop aspect: random
 ### bg20k-1024
 - Repeats: 0
+- Total number of images: 89250
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop aspect: random
 ### yoga
 - Repeats: 0
+- Total number of images: 3589
+- Total number of aspect buckets: 2
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop style: random
 - Crop aspect: random
 ### photo-aesthetics
 - Repeats: 0
+- Total number of images: 33121
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop aspect: random
 ### text-1mp
 - Repeats: 5
+- Total number of images: 13123
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True
 - Crop aspect: random
 ### photo-concept-bucket
 - Repeats: 0
+- Total number of images: 567521
 - Total number of aspect buckets: 3
 - Resolution: 1.0 megapixels
 - Cropped: True

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