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-5500/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/main/checkpoint-5500/optimizer.bin
- Command line
-
hf download hf://alastandy/capybara2_sd3_dev_lora/checkpoint-5500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/alastandy/capybara2_sd3_dev_lora/resolve/main/checkpoint-5500/optimizer.bin
19.1 MB
- Xet hash:
- 2785d81e88fbf8abfcf7b779e6959f2624d4d921d4e481c5386533645a8fa852
- Size of remote file:
- 19.1 MB
- SHA256:
- d34676c400c4341393f452049c8a384d72cbe026e94ed2d63656bd1deed020af
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