PseudoTerminal X commited on May 28, 2024

Commit

900cd5c

verified ·

1 Parent(s): ca1f2d7

Trained for 1 epochs and 11250 steps.

Trained with datasets ['text-embeds-sd2x', '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']
Learning rate 4e-07, batch size 4, and 1 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: stabilityai/stable-diffusion-2-1
VAE: None

Files changed (25) hide show

README.md +11 -11
optimizer.bin +1 -1
random_states_0.pkl +2 -2
training_state-anatomy.json +2 -2
training_state-architecture.json +2 -2
training_state-bg20k-1024.json +2 -2
training_state-bookcovers.json +1 -1
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 +1 -1
training_state-moviecollection.json +1 -1
training_state-movieposters.json +2 -2
training_state-nijijourney.json +2 -2
training_state-nsfw-1024.json +2 -2
training_state-propagandaposters.json +2 -2
training_state-shutterstock.json +2 -2
training_state-signs.json +1 -1
training_state-sports.json +2 -2
training_state-yoga.json +2 -2
training_state.json +2 -2
unet/config.json +2 -2
unet/diffusion_pytorch_model.safetensors +1 -1

README.md CHANGED Viewed

@@ -44,7 +44,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 - Training epochs: 1
-- Training steps: 9750
 - Learning rate: 4e-07
 - Effective batch size: 4
   - Micro-batch size: 4
@@ -148,7 +148,7 @@ You may reuse the base model text encoder for inference.
 - Crop aspect: None
 ### ethnic
 - Repeats: 0
-- Total number of images: 3063
 - Total number of aspect buckets: 23
 - Resolution: 1.0 megapixels
 - Cropped: False
@@ -157,7 +157,7 @@ You may reuse the base model text encoder for inference.
 ### sports
 - Repeats: 0
 - Total number of images: 772
-- Total number of aspect buckets: 12
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None
@@ -165,22 +165,22 @@ You may reuse the base model text encoder for inference.
 ### gay
 - Repeats: 0
 - Total number of images: 1064
-- Total number of aspect buckets: 16
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None
 - Crop aspect: None
 ### architecture
 - Repeats: 0
-- Total number of images: 4321
-- Total number of aspect buckets: 22
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None
 - Crop aspect: None
 ### shutterstock
 - Repeats: 0
-- Total number of images: 21012
 - Total number of aspect buckets: 34
 - Resolution: 1.0 megapixels
 - Cropped: False
@@ -189,7 +189,7 @@ You may reuse the base model text encoder for inference.
 ### cinemamix-1mp
 - Repeats: 0
 - Total number of images: 9024
-- Total number of aspect buckets: 5
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None
@@ -204,8 +204,8 @@ You may reuse the base model text encoder for inference.
 - Crop aspect: None
 ### anatomy
 - Repeats: 5
-- Total number of images: 16379
-- Total number of aspect buckets: 23
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None
@@ -213,7 +213,7 @@ You may reuse the base model text encoder for inference.
 ### bg20k-1024
 - Repeats: 0
 - Total number of images: 89216
-- Total number of aspect buckets: 40
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None

 ## Training settings
 - Training epochs: 1
+- Training steps: 11250
 - Learning rate: 4e-07
 - Effective batch size: 4
   - Micro-batch size: 4
 - Crop aspect: None
 ### ethnic
 - Repeats: 0
+- Total number of images: 3061
 - Total number of aspect buckets: 23
 - Resolution: 1.0 megapixels
 - Cropped: False
 ### sports
 - Repeats: 0
 - Total number of images: 772
+- Total number of aspect buckets: 22
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None
 ### gay
 - Repeats: 0
 - Total number of images: 1064
+- Total number of aspect buckets: 31
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None
 - Crop aspect: None
 ### architecture
 - Repeats: 0
+- Total number of images: 4322
+- Total number of aspect buckets: 23
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None
 - Crop aspect: None
 ### shutterstock
 - Repeats: 0
+- Total number of images: 21013
 - Total number of aspect buckets: 34
 - Resolution: 1.0 megapixels
 - Cropped: False
 ### cinemamix-1mp
 - Repeats: 0
 - Total number of images: 9024
+- Total number of aspect buckets: 6
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None
 - Crop aspect: None
 ### anatomy
 - Repeats: 5
+- Total number of images: 16383
+- Total number of aspect buckets: 29
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None
 ### bg20k-1024
 - Repeats: 0
 - Total number of images: 89216
+- Total number of aspect buckets: 46
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None

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