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
- Draw Things
- DiffusionBee
- Xet hash:
- d5ef50ea6f44eaa83928c1483572c5f4f11eb69a8ad3b84cb198d58fb6445d05
- Size of remote file:
- 19.1 MB
- SHA256:
- 364ee76e097fb086bd940281b2df559437df4197a0585b68328fee5f332643e0
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