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--- |
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license: creativeml-openrail-m |
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base_model: stabilityai/stable-diffusion-3-medium-diffusers |
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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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- simpletuner |
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- lora |
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- template:sd-lora |
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- not-for-all-audiences |
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inference: true |
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widget: |
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- text: unconditional (blank prompt) |
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parameters: |
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negative_prompt: blurry, cropped, ugly |
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output: |
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url: ./assets/image_0_0.png |
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- text: a photo of a naked woman with large breasts |
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parameters: |
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negative_prompt: blurry, cropped, ugly |
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output: |
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url: ./assets/image_1_0.png |
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--- |
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# sdxl-training |
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This is a LoRA derived from [stabilityai/stable-diffusion-3-medium-diffusers](https://huggingface.co/stabilityai/stable-diffusion-3-medium-diffusers). |
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The main validation prompt used during training was: |
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``` |
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a naked woman, front view, standing in a room. large breasts, pretty face, pussy. photo, RAW candid cinema, 16mm, color graded portra 400 film, remarkable color, ultra realistic, dry skin, shot with cinematic camera |
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``` |
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Negative prompt: |
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``` |
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ugly 3d render, deformed corpse, brushstrokes, painting |
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``` |
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## Validation settings |
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- CFG: `4.0` |
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- CFG Rescale: `0.0` |
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- Steps: `40` |
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- Sampler: `euler` |
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- Seed: `6` |
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- Resolution: `816x1280` |
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Note: The validation settings are not necessarily the same as the [training settings](#training-settings). |
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You can find some example images in the following gallery: |
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<Gallery /> |
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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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## Training settings |
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- Training epochs: 1072 |
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- Training steps: 21450 |
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- Learning rate: 0.0002 |
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- Effective batch size: 20 |
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- Micro-batch size: 5 |
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- Gradient accumulation steps: 4 |
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- Number of GPUs: 1 |
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- Prediction type: epsilon |
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- Rescaled betas zero SNR: False |
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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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- LoRA Rank: 64 |
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- LoRA Alpha: 64.0 |
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- LoRA Dropout: 0.1 |
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- LoRA initialisation style: default |
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## Datasets |
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### curated3 |
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- Repeats: 0 |
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- Total number of images: 400 |
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- Total number of aspect buckets: 1 |
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- Resolution: 0.5 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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