PseudoTerminal X commited on
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Trained for 0 epochs and 550 steps.

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Trained with datasets ['text-embeds', 'photocb-clip-embeds', 'mj-60', 'laion-hd-exif-1024', 'laion-aesthetics-1024', 'experimental', 'ethnic', 'sports', 'gay', 'architecture', 'shutterstock', 'cinemamix-1mp', 'nsfw-1024', 'anatomy', 'bg20k-1024', 'yoga', 'photo-aesthetics', 'text-1mp', 'photo-concept-bucket']
Learning rate 1e-06, 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: ptx0/terminus-xl-velocity-v1
VAE: madebyollin/sdxl-vae-fp16-fix

README.md CHANGED
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  ---
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- license: openrail++
 
 
 
 
 
 
 
 
 
 
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  ---
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- # Terminus XL - Gamma (v2 preview)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- This is an in-progress checkpoint of [the "Gamma" model](/ptx0/terminus-xl-gamma-v1) from the Terminus XL series.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- It's updated randomly for evaluation as progress rolls on.
 
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  ---
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+ license: creativeml-openrail-m
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+ base_model: "ptx0/terminus-xl-velocity-v1"
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+ tags:
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+ - stable-diffusion
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+ - stable-diffusion-diffusers
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+ - text-to-image
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+ - diffusers
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+ - full
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+
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+ inference: true
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+
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  ---
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+ # terminus-xl-velocity-v2
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+
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+ This is a full rank finetuned model derived from [ptx0/terminus-xl-velocity-v1](https://huggingface.co/ptx0/terminus-xl-velocity-v1).
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+
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+ The main validation prompt used during training was:
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+
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+ ```
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+ a cute anime character named toast
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+ ```
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+
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+ ## Validation settings
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+ - CFG: `7.5`
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+ - CFG Rescale: `0.7`
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+ - Steps: `30`
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+ - Sampler: `euler`
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+ - Seed: `420420420`
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+ - Resolution: `1024`
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+
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+ Note: The validation settings are not necessarily the same as the [training settings](#training-settings).
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+
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+
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+
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+
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+ <Gallery />
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+
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+ The text encoder **was not** trained.
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+ You may reuse the base model text encoder for inference.
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+
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+
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+ ## Training settings
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+
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+ - Training epochs: 0
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+ - Training steps: 550
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+ - Learning rate: 1e-06
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+ - Effective batch size: 4
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+ - Micro-batch size: 4
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+ - Gradient accumulation steps: 1
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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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+ - Precision: Pure BF16
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+ - Xformers: Enabled
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+
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+
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+ ## Datasets
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+ ### mj-60
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+ - Repeats: 0
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+ - Total number of images: 3
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+ - Total number of aspect buckets: 1
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+ - Resolution: 1.0 megapixels
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+ - Cropped: False
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+ - Crop style: None
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+ - Crop aspect: None
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+ ### laion-hd-exif-1024
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+ - Repeats: 0
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+ - Total number of images: 102
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+ - Total number of aspect buckets: 27
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+ - Resolution: 1.0 megapixels
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+ - Cropped: False
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+ - Crop style: None
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+ - Crop aspect: None
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+ ### laion-aesthetics-1024
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+ - Repeats: 0
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+ - Total number of images: 180
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+ - Total number of aspect buckets: 47
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+ - Resolution: 1.0 megapixels
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+ - Cropped: False
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+ - Crop style: None
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+ - Crop aspect: None
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+ ### experimental
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+ - Repeats: 0
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+ - Total number of images: 74
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+ - Total number of aspect buckets: 19
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+ - Resolution: 1.0 megapixels
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+ - Cropped: False
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+ - Crop style: None
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+ - Crop aspect: None
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+ ### ethnic
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+ - Repeats: 0
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+ - Total number of images: 90
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+ - Total number of aspect buckets: 23
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+ - Resolution: 1.0 megapixels
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+ - Cropped: False
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+ - Crop style: None
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+ - Crop aspect: None
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+ ### sports
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+ - Repeats: 0
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+ - Total number of images: 47
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+ - Total number of aspect buckets: 12
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+ - Resolution: 1.0 megapixels
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+ - Cropped: False
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+ - Crop style: None
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+ - Crop aspect: None
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+ ### gay
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+ - Repeats: 0
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+ - Total number of images: 62
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+ - Total number of aspect buckets: 16
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+ - Resolution: 1.0 megapixels
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+ - Cropped: False
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+ - Crop style: None
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+ - Crop aspect: None
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+ ### architecture
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+ - Repeats: 0
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+ - Total number of images: 85
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+ - Total number of aspect buckets: 22
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+ - Resolution: 1.0 megapixels
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+ - Cropped: False
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+ - Crop style: None
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+ - Crop aspect: None
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+ ### shutterstock
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+ - Repeats: 0
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+ - Total number of images: 130
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+ - Total number of aspect buckets: 34
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+ - Resolution: 1.0 megapixels
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+ - Cropped: False
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+ - Crop style: None
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+ - Crop aspect: None
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+ ### cinemamix-1mp
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+ - Repeats: 0
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+ - Total number of images: 23
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+ - Total number of aspect buckets: 6
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+ - Resolution: 1.0 megapixels
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+ - Cropped: False
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+ - Crop style: None
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+ - Crop aspect: None
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+ ### nsfw-1024
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+ - Repeats: 0
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+ - Total number of images: 16
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+ - Total number of aspect buckets: 4
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+ - Resolution: 1.0 megapixels
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+ - Cropped: False
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+ - Crop style: None
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+ - Crop aspect: None
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+ ### anatomy
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+ - Repeats: 5
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+ - Total number of images: 98
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+ - Total number of aspect buckets: 25
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+ - Resolution: 1.0 megapixels
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+ - Cropped: False
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+ - Crop style: None
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+ - Crop aspect: None
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+ ### bg20k-1024
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+ - Repeats: 0
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+ - Total number of images: 160
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+ - Total number of aspect buckets: 42
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+ - Resolution: 1.0 megapixels
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+ - Cropped: False
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+ - Crop style: None
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+ - Crop aspect: None
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+ ### yoga
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+ - Repeats: 0
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+ - Total number of images: 82
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+ - Total number of aspect buckets: 21
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+ - Resolution: 1.0 megapixels
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+ - Cropped: False
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+ - Crop style: None
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+ - Crop aspect: None
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+ ### photo-aesthetics
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+ - Repeats: 0
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+ - Total number of images: 116
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+ - Total number of aspect buckets: 30
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+ - Resolution: 1.0 megapixels
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+ - Cropped: False
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+ - Crop style: None
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+ - Crop aspect: None
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+ ### text-1mp
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+ - Repeats: 5
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+ - Total number of images: 90
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+ - Total number of aspect buckets: 23
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+ - Resolution: 1.0 megapixels
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+ - Cropped: False
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+ - Crop style: None
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+ - Crop aspect: None
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+ ### photo-concept-bucket
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+ - Repeats: 1
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+ - Total number of images: 149
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+ - Total number of aspect buckets: 39
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+ - Resolution: 1.0 megapixels
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+ - Cropped: False
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+ - Crop style: None
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+ - Crop aspect: None
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