Instructions to use antonellaavad/daniel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use antonellaavad/daniel 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-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("antonellaavad/daniel") prompt = "ohxs" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download test_images/image_0.png from antonellaavad/daniel: direct link, hf CLI and curl.
- Browser
- Download file 842 Bytes
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https://huggingface.co/antonellaavad/daniel/resolve/main/test_images/image_0.png
- Command line
-
hf download hf://antonellaavad/daniel/test_images/image_0.png
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curl -L -o image_0.png https://huggingface.co/antonellaavad/daniel/resolve/main/test_images/image_0.png
842 Bytes
