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
Add generated example (#1)
Browse files- Add generated example (c3c421a95281d685c10af6cfbede46dc025c3e97)
- README.md +5 -1
- images/example_unnmuzxuj.png +0 -0
README.md
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- sd3-diffusers
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- template:sd-lora
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instance_prompt: a drawing of a capybaracartoon
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widget:
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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- sd3-diffusers
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- template:sd-lora
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instance_prompt: a drawing of a capybaracartoon
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widget:
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- text: a drawing of a capybaracartoon
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output:
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url: images/example_unnmuzxuj.png
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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images/example_unnmuzxuj.png
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