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
Download checkpoint-5000/optimizer.bin from alastandy/capybara2_sd3_dev_lora: direct link, hf CLI and curl.
- Browser
- Download file 19.1 MB
-
https://huggingface.co/alastandy/capybara2_sd3_dev_lora/resolve/refs%2Fpr%2F2/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://alastandy/capybara2_sd3_dev_lora@refs/pr/2/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/alastandy/capybara2_sd3_dev_lora/resolve/refs%2Fpr%2F2/checkpoint-5000/optimizer.bin
19.1 MB
- Xet hash:
- 050a2761e3fa2d2e120db31d0f8014cd12aec1bd54b32575dbab03e782861f41
- Size of remote file:
- 19.1 MB
- SHA256:
- e81235326760fdb5004a3269c31b0f3856a07269e74d91eb411ecaa94df0b26d
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