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-2000/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-2000/optimizer.bin
- Command line
-
hf download hf://alastandy/capybara2_sd3_dev_lora@refs/pr/2/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/alastandy/capybara2_sd3_dev_lora/resolve/refs%2Fpr%2F2/checkpoint-2000/optimizer.bin
19.1 MB
- Xet hash:
- e2696d7519b0f63884cf1182c0079a8cbedc846bc565dd7fecc46cdd14f48dc7
- Size of remote file:
- 19.1 MB
- SHA256:
- fb9fc1ea1f503aa19031efbeebf7340fa9bd14e3e692933473623341c030a9b3
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