PseudoTerminal X
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aec2095
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Parent(s):
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Trained for 1 epochs and 35000 steps.
Browse filesTrained with datasets ['text-embeds-pixart-filter', 'photo-concept-bucket', 'moviecollection', 'experimental', 'ethnic', 'sports', 'architecture', 'shutterstock', 'cinemamix-1mp', 'nsfw-1024', 'anatomy', 'bg20k-1024', 'yoga', 'photo-aesthetics', 'text-1mp', 'movieposters', 'normalnudes', 'pixel-art', 'signs', 'midjourney-v6-520k-raw', 'sfwbooru', 'nijijourney-v6-520k-raw', 'dalle3']
Learning rate 1e-06, batch size 24, 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-large
VAE: madebyollin/sdxl-vae-fp16-fix
- README.md +4 -4
- optimizer.bin +1 -1
- random_states_0.pkl +2 -2
- scheduler.bin +1 -1
- training_state-anatomy.json +0 -0
- training_state-dalle3.json +2 -2
- training_state-midjourney-v6-520k-raw.json +2 -2
- training_state-nijijourney-v6-520k-raw.json +2 -2
- training_state-photo-concept-bucket.json +2 -2
- training_state-sfwbooru.json +0 -0
- training_state-text-1mp.json +0 -0
- training_state.json +1 -1
- transformer/diffusion_pytorch_model.safetensors +1 -1
README.md
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@@ -62,7 +62,7 @@ You may reuse the base model text encoder for inference.
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## Training settings
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- Training epochs: 1
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- Training steps:
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- Learning rate: 1e-06
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- Effective batch size: 192
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- Micro-batch size: 24
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### anatomy
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- Repeats: 5
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- Total number of images: ~15168
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- Total number of aspect buckets:
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- Resolution: 1.0 megapixels
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- Cropped: True
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- Crop style: random
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### sfwbooru
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- Repeats: 0
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- Total number of images: ~271488
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- Total number of aspect buckets:
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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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### nijijourney-v6-520k-raw
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- Repeats: 0
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- Total number of images: ~516288
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-
- Total number of aspect buckets:
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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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## Training settings
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- Training epochs: 1
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- Training steps: 35000
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- Learning rate: 1e-06
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- Effective batch size: 192
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- Micro-batch size: 24
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### anatomy
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- Repeats: 5
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- Total number of images: ~15168
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- Total number of aspect buckets: 2
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- Resolution: 1.0 megapixels
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- Cropped: True
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- Crop style: random
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### sfwbooru
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- Repeats: 0
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- Total number of images: ~271488
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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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### nijijourney-v6-520k-raw
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- Repeats: 0
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- Total number of images: ~516288
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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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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-dalle3.json
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training_state-photo-concept-bucket.json
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training_state-sfwbooru.json
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training_state-text-1mp.json
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training_state.json
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{"global_step":
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{"global_step": 35000, "epoch_step": 1, "epoch": 2, "exhausted_backends": ["pixel-art", "signs", "sports", "ethnic", "experimental", "movieposters", "normalnudes", "yoga", "cinemamix-1mp", "architecture", "moviecollection", "shutterstock", "nsfw-1024", "photo-aesthetics", "bg20k-1024"], "repeats": {"bookcovers": 0, "signs": 0, "normalnudes": 0, "nijijourney": 0, "movieposters": 0, "celebrities": 0, "pixel-art": 0, "propagandaposters": 0, "sports": 0, "moviecollection": 0, "gay": 0, "experimental": 0, "yoga": 0, "ethnic": 0, "cinemamix-1mp": 0, "architecture": 0, "mj-60": 0, "text-1mp": 13, "shutterstock": 0, "nsfw-1024": 0, "photo-aesthetics": 0, "anatomy": 5, "bg20k-1024": 0, "sfwbooru": 0, "midjourney-v6-520k-raw": 0, "nijijourney-v6-520k-raw": 0, "photo-concept-bucket": 0, "dalle3": 0}}
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