Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use nota-ai/bk-sdm-v2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nota-ai/bk-sdm-v2-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nota-ai/bk-sdm-v2-base", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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- **Gradient Accumulations**: 4
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- **Batch:** 128 (=4×32)
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- **Optimizer:** AdamW
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- **Learning Rate:** a constant learning rate of 5e-5 for 50K-iteration
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## Experimental Results
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- **Gradient Accumulations**: 4
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- **Batch:** 128 (=4×32)
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- **Optimizer:** AdamW
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- **Learning Rate:** a constant learning rate of 5e-5 for 50K-iteration retraining
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## Experimental Results
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