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--- |
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license: creativeml-openrail-m |
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base_model: "segmind/SSD-1B" |
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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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inference: true |
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--- |
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# terminus-lite-base-v1 |
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This is a full rank finetune derived from [segmind/SSD-1B](https://huggingface.co/segmind/SSD-1B). |
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The main validation prompt used during training was: |
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``` |
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a cute anime character named toast |
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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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- Resolutions: `1024x1024,1152x960,896x1152` |
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Note: The validation settings are not necessarily the same as the [training settings](#training-settings). |
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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: 0 |
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- Training steps: 600 |
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- Learning rate: 1e-06 |
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- Effective batch size: 16 |
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- Micro-batch size: 4 |
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- Gradient accumulation steps: 4 |
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- Number of GPUs: 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: Not used |
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## Datasets |
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### celebrities |
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- Repeats: 4 |
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- Total number of images: 1232 |
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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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- Crop aspect: random |
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### movieposters |
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- Repeats: 25 |
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- Total number of images: 1712 |
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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 style: random |
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- Crop aspect: random |
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### normalnudes |
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- Repeats: 5 |
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- Total number of images: 1120 |
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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 style: random |
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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: 560 |
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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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- Crop aspect: random |
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### guys |
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- Repeats: 5 |
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- Total number of images: 368 |
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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 style: random |
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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: 1040 |
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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 style: random |
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- Crop aspect: random |
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### signs |
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- Repeats: 25 |
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- Total number of images: 384 |
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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 style: random |
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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: 1888 |
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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 style: random |
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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: 800 |
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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 style: random |
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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: 560 |
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- Total number of aspect buckets: 1 |
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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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- Crop aspect: random |
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### experimental |
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- Repeats: 0 |
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- Total number of images: 3024 |
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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 style: random |
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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: 3072 |
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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 style: random |
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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: 784 |
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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 style: random |
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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: 1072 |
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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 style: random |
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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: 4336 |
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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 style: random |
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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: 21088 |
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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 style: random |
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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: 9008 |
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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 style: random |
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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: 10800 |
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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 style: random |
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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: 16400 |
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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 style: random |
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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: 89280 |
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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 style: random |
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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: 3600 |
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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 style: random |
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- Crop aspect: random |
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### photo-aesthetics |
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- Repeats: 0 |
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- Total number of images: 33120 |
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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 style: random |
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- Crop aspect: random |
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### text-1mp |
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- Repeats: 25 |
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- Total number of images: 13168 |
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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 style: random |
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- Crop aspect: random |
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### photo-concept-bucket |
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- Repeats: 0 |
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- Total number of images: 567536 |
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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 style: random |
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- Crop aspect: random |
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## Inference |
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```python |
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import torch |
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from diffusers import DiffusionPipeline |
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model_id = "terminus-lite-base-v1" |
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prompt = "a cute anime character named toast" |
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negative_prompt = "malformed, disgusting, overexposed, washed-out" |
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pipeline = DiffusionPipeline.from_pretrained(model_id) |
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pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu') |
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image = pipeline( |
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prompt=prompt, |
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negative_prompt='blurry, cropped, ugly', |
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num_inference_steps=30, |
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generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826), |
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width=1152, |
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height=768, |
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guidance_scale=7.5, |
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guidance_rescale=0.7, |
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).images[0] |
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image.save("output.png", format="PNG") |
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``` |
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