Trained for 2 epochs and 47100 steps.
Browse filesTrained 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 8 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
- README.md +24 -24
- optimizer.bin +1 -1
- random_states_0.pkl +2 -2
- 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-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-yoga.json +2 -2
- training_state.json +2 -2
- unet/config.json +1 -1
- unet/diffusion_pytorch_model.safetensors +1 -1
README.md
CHANGED
@@ -44,11 +44,11 @@ You may reuse the base model text encoder for inference.
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## Training settings
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- Training epochs: 2
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-
- Training steps:
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- Learning rate: 4e-07
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-
- Effective batch size:
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- Micro-batch size: 4
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-
- Gradient accumulation steps:
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- Prediction type: v_prediction
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- Rescaled betas zero SNR: True
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- Optimizer: AdamW, stochastic bf16
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### celebrities
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- Repeats: 0
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-
- Total number of images:
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- Total number of aspect buckets: 3
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- Resolution: 1.0 megapixels
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- Cropped: True
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@@ -68,7 +68,7 @@ You may reuse the base model text encoder for inference.
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- Crop aspect: random
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### movieposters
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- Repeats: 0
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-
- Total number of images:
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- Total number of aspect buckets: 3
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- Resolution: 1.0 megapixels
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- Cropped: True
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@@ -76,7 +76,7 @@ You may reuse the base model text encoder for inference.
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- Crop aspect: random
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### normalnudes
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- Repeats: 0
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-
- Total number of images:
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- Total number of aspect buckets: 3
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- Resolution: 1.0 megapixels
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- Cropped: True
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@@ -84,7 +84,7 @@ You may reuse the base model text encoder for inference.
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- Crop aspect: random
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### propagandaposters
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- Repeats: 0
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-
- Total number of images:
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- Total number of aspect buckets: 3
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- Resolution: 1.0 megapixels
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- Cropped: True
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@@ -92,7 +92,7 @@ You may reuse the base model text encoder for inference.
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- Crop aspect: random
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### guys
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- Repeats: 0
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-
- Total number of images:
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- Total number of aspect buckets: 3
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- Resolution: 1.0 megapixels
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- Cropped: True
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@@ -100,7 +100,7 @@ You may reuse the base model text encoder for inference.
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- Crop aspect: random
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### pixel-art
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- Repeats: 0
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-
- Total number of images:
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- Total number of aspect buckets: 3
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- Resolution: 1.0 megapixels
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- Cropped: True
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@@ -108,7 +108,7 @@ You may reuse the base model text encoder for inference.
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- Crop aspect: random
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### signs
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- Repeats: 0
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-
- Total number of images:
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- Total number of aspect buckets: 3
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- Resolution: 1.0 megapixels
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- Cropped: True
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@@ -116,7 +116,7 @@ You may reuse the base model text encoder for inference.
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- Crop aspect: random
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### moviecollection
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- Repeats: 0
|
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-
- Total number of images:
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- Total number of aspect buckets: 3
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- Resolution: 1.0 megapixels
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- Cropped: True
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@@ -124,7 +124,7 @@ You may reuse the base model text encoder for inference.
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- Crop aspect: random
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### bookcovers
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- Repeats: 0
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-
- Total number of images:
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- Total number of aspect buckets: 3
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- Resolution: 1.0 megapixels
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- Cropped: True
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@@ -132,7 +132,7 @@ You may reuse the base model text encoder for inference.
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- Crop aspect: random
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### nijijourney
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- Repeats: 0
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-
- Total number of images:
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- Total number of aspect buckets: 3
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- Resolution: 1.0 megapixels
|
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- Cropped: True
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@@ -140,7 +140,7 @@ You may reuse the base model text encoder for inference.
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- Crop aspect: random
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### experimental
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- Repeats: 0
|
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-
- Total number of images:
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- Total number of aspect buckets: 3
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- Resolution: 1.0 megapixels
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- Cropped: True
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@@ -148,7 +148,7 @@ You may reuse the base model text encoder for inference.
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- Crop aspect: random
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### ethnic
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- Repeats: 0
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-
- Total number of images:
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- Total number of aspect buckets: 3
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- Resolution: 1.0 megapixels
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- Cropped: True
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@@ -156,7 +156,7 @@ You may reuse the base model text encoder for inference.
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- Crop aspect: random
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### sports
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- Repeats: 0
|
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-
- Total number of images:
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- Total number of aspect buckets: 3
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- Resolution: 1.0 megapixels
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- Cropped: True
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@@ -164,7 +164,7 @@ You may reuse the base model text encoder for inference.
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- Crop aspect: random
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### gay
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- Repeats: 0
|
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-
- Total number of images:
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- Total number of aspect buckets: 3
|
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- Resolution: 1.0 megapixels
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- Cropped: True
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@@ -172,7 +172,7 @@ You may reuse the base model text encoder for inference.
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- Crop aspect: random
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### architecture
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- Repeats: 0
|
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-
- Total number of images:
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- Total number of aspect buckets: 3
|
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- Resolution: 1.0 megapixels
|
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- Cropped: True
|
@@ -180,7 +180,7 @@ You may reuse the base model text encoder for inference.
|
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- Crop aspect: random
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### shutterstock
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- Repeats: 0
|
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-
- Total number of images:
|
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- Total number of aspect buckets: 3
|
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- Resolution: 1.0 megapixels
|
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- Cropped: True
|
@@ -188,7 +188,7 @@ You may reuse the base model text encoder for inference.
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|
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- Crop aspect: random
|
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### cinemamix-1mp
|
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- Repeats: 0
|
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-
- Total number of images:
|
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- Total number of aspect buckets: 3
|
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- Resolution: 1.0 megapixels
|
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- Cropped: True
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@@ -196,7 +196,7 @@ You may reuse the base model text encoder for inference.
|
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- Crop aspect: random
|
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### nsfw-1024
|
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- Repeats: 0
|
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-
- Total number of images:
|
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- Total number of aspect buckets: 3
|
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- Resolution: 1.0 megapixels
|
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- Cropped: True
|
@@ -204,7 +204,7 @@ You may reuse the base model text encoder for inference.
|
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- Crop aspect: random
|
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### anatomy
|
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- Repeats: 5
|
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-
- Total number of images:
|
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- Total number of aspect buckets: 3
|
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- Resolution: 1.0 megapixels
|
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- Cropped: True
|
@@ -212,7 +212,7 @@ You may reuse the base model text encoder for inference.
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- Crop aspect: random
|
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### bg20k-1024
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- Repeats: 0
|
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-
- Total number of images:
|
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- Total number of aspect buckets: 3
|
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- Resolution: 1.0 megapixels
|
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- Cropped: True
|
@@ -220,7 +220,7 @@ You may reuse the base model text encoder for inference.
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- Crop aspect: random
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### yoga
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- Repeats: 0
|
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-
- Total number of images:
|
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- Total number of aspect buckets: 3
|
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- Resolution: 1.0 megapixels
|
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- Cropped: True
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|
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## Training settings
|
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|
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- Training epochs: 2
|
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+
- Training steps: 47100
|
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- Learning rate: 4e-07
|
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+
- Effective batch size: 32
|
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- Micro-batch size: 4
|
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+
- Gradient accumulation steps: 8
|
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- Prediction type: v_prediction
|
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- Rescaled betas zero SNR: True
|
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- Optimizer: AdamW, stochastic bf16
|
|
|
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|
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### celebrities
|
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- Repeats: 0
|
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+
- Total number of images: 1216
|
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- Total number of aspect buckets: 3
|
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- Resolution: 1.0 megapixels
|
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- Cropped: True
|
|
|
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- Crop aspect: random
|
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### movieposters
|
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- Repeats: 0
|
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+
- Total number of images: 1696
|
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- Total number of aspect buckets: 3
|
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- Resolution: 1.0 megapixels
|
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- Cropped: True
|
|
|
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- Crop aspect: random
|
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### normalnudes
|
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- Repeats: 0
|
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+
- Total number of images: 1088
|
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- Total number of aspect buckets: 3
|
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- Resolution: 1.0 megapixels
|
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- Cropped: True
|
|
|
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- Crop aspect: random
|
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### propagandaposters
|
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- Repeats: 0
|
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+
- Total number of images: 640
|
88 |
- Total number of aspect buckets: 3
|
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- Resolution: 1.0 megapixels
|
90 |
- Cropped: True
|
|
|
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- Crop aspect: random
|
93 |
### guys
|
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- Repeats: 0
|
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+
- Total number of images: 352
|
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- Total number of aspect buckets: 3
|
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- Resolution: 1.0 megapixels
|
98 |
- Cropped: True
|
|
|
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- Crop aspect: random
|
101 |
### pixel-art
|
102 |
- Repeats: 0
|
103 |
+
- Total number of images: 1056
|
104 |
- Total number of aspect buckets: 3
|
105 |
- Resolution: 1.0 megapixels
|
106 |
- Cropped: True
|
|
|
108 |
- Crop aspect: random
|
109 |
### signs
|
110 |
- Repeats: 0
|
111 |
+
- Total number of images: 384
|
112 |
- Total number of aspect buckets: 3
|
113 |
- Resolution: 1.0 megapixels
|
114 |
- Cropped: True
|
|
|
116 |
- Crop aspect: random
|
117 |
### moviecollection
|
118 |
- Repeats: 0
|
119 |
+
- Total number of images: 1856
|
120 |
- Total number of aspect buckets: 3
|
121 |
- Resolution: 1.0 megapixels
|
122 |
- Cropped: True
|
|
|
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- Crop aspect: random
|
125 |
### bookcovers
|
126 |
- Repeats: 0
|
127 |
+
- Total number of images: 768
|
128 |
- Total number of aspect buckets: 3
|
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- Resolution: 1.0 megapixels
|
130 |
- Cropped: True
|
|
|
132 |
- Crop aspect: random
|
133 |
### nijijourney
|
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- Repeats: 0
|
135 |
+
- Total number of images: 640
|
136 |
- Total number of aspect buckets: 3
|
137 |
- Resolution: 1.0 megapixels
|
138 |
- Cropped: True
|
|
|
140 |
- Crop aspect: random
|
141 |
### experimental
|
142 |
- Repeats: 0
|
143 |
+
- Total number of images: 3008
|
144 |
- Total number of aspect buckets: 3
|
145 |
- Resolution: 1.0 megapixels
|
146 |
- Cropped: True
|
|
|
148 |
- Crop aspect: random
|
149 |
### ethnic
|
150 |
- Repeats: 0
|
151 |
+
- Total number of images: 3072
|
152 |
- Total number of aspect buckets: 3
|
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- Resolution: 1.0 megapixels
|
154 |
- Cropped: True
|
|
|
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- Crop aspect: random
|
157 |
### sports
|
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- Repeats: 0
|
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+
- Total number of images: 800
|
160 |
- Total number of aspect buckets: 3
|
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- Resolution: 1.0 megapixels
|
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- Cropped: True
|
|
|
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- Crop aspect: random
|
165 |
### gay
|
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- Repeats: 0
|
167 |
+
- Total number of images: 1056
|
168 |
- Total number of aspect buckets: 3
|
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- Resolution: 1.0 megapixels
|
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- Cropped: True
|
|
|
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- Crop aspect: random
|
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### architecture
|
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- Repeats: 0
|
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+
- Total number of images: 4320
|
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- Total number of aspect buckets: 3
|
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- Resolution: 1.0 megapixels
|
178 |
- Cropped: True
|
|
|
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- Crop aspect: random
|
181 |
### shutterstock
|
182 |
- Repeats: 0
|
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+
- Total number of images: 21056
|
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- Total number of aspect buckets: 3
|
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- Resolution: 1.0 megapixels
|
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- Cropped: True
|
|
|
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- Crop aspect: random
|
189 |
### cinemamix-1mp
|
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- Repeats: 0
|
191 |
+
- Total number of images: 8992
|
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- Total number of aspect buckets: 3
|
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- Resolution: 1.0 megapixels
|
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- Cropped: True
|
|
|
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- Crop aspect: random
|
197 |
### nsfw-1024
|
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- Repeats: 0
|
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+
- Total number of images: 10784
|
200 |
- Total number of aspect buckets: 3
|
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- Resolution: 1.0 megapixels
|
202 |
- Cropped: True
|
|
|
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- Crop aspect: random
|
205 |
### anatomy
|
206 |
- Repeats: 5
|
207 |
+
- Total number of images: 16352
|
208 |
- Total number of aspect buckets: 3
|
209 |
- Resolution: 1.0 megapixels
|
210 |
- Cropped: True
|
|
|
212 |
- Crop aspect: random
|
213 |
### bg20k-1024
|
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- Repeats: 0
|
215 |
+
- Total number of images: 89287
|
216 |
- Total number of aspect buckets: 3
|
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- Resolution: 1.0 megapixels
|
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- Cropped: True
|
|
|
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- Crop aspect: random
|
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### yoga
|
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- Repeats: 0
|
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+
- Total number of images: 3552
|
224 |
- Total number of aspect buckets: 3
|
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- Resolution: 1.0 megapixels
|
226 |
- Cropped: True
|
optimizer.bin
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random_states_0.pkl
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scheduler.bin
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training_state-anatomy.json
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training_state-bg20k-1024.json
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training_state-bookcovers.json
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training_state-celebrities.json
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training_state-cinemamix-1mp.json
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training_state-ethnic.json
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