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
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README.md
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Was LoRA for the text encoder enabled? False.
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Note: A Version of this loRA that was trained with Flux.1-Dev for use with Flux.1 using the same dataset is aviablae at
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## Trigger words
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Was LoRA for the text encoder enabled? False.
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Note: A Version of this loRA that was trained with Flux.1-Dev for use with Flux.1 using the same dataset is aviablae at:
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https://huggingface.co/alastandy/Capybara_V2.0
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and
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https://civitai.com/models/799245
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## Trigger words
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