Instructions to use alastandy/capybara2_sd3_dev_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alastandy/capybara2_sd3_dev_lora 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-diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("alastandy/capybara2_sd3_dev_lora") prompt = "a drawing of a capybaracartoon" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- baf92a03c8b47473f06df9a0b98efd00c7f14da72b0ddab9e6b33ae37e5d94cb
- Size of remote file:
- 1 kB
- SHA256:
- fd66a0a2bf5a1665c21e749011b0c1523d22343f2dcb9e3e8397b25cc0cca066
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