Instructions to use Zeta-Young/sd3-lora-tsmini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Zeta-Young/sd3-lora-tsmini with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3-medium", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Zeta-Young/sd3-lora-tsmini") 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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This is a LoRA adapter trained on Stable Diffusion 3 Medium for the **tilt-shift miniature photography** style. The trigger word is `tsmini`.
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- **Developed by:** [
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- **License:** CreativeML OpenRAIL-M
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- **Base model:** Stable Diffusion 3 Medium (`stabilityai/stable-diffusion-3-medium-diffusers`)
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- **Adapter type:** LoRA (rank=16, alpha=16)
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This is a LoRA adapter trained on Stable Diffusion 3 Medium for the **tilt-shift miniature photography** style. The trigger word is `tsmini`.
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- **Developed by:** [Zeta Young]
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- **License:** CreativeML OpenRAIL-M
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- **Base model:** Stable Diffusion 3 Medium (`stabilityai/stable-diffusion-3-medium-diffusers`)
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- **Adapter type:** LoRA (rank=16, alpha=16)
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