Instructions to use antonellaavad/daniels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use antonellaavad/daniels 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/daniels") prompt = "ohxs" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d145911e42064d0c1449e32bbe11c5382f39b7160d964bf6b3e3fd71651581c0
- Size of remote file:
- 3.42 MB
- SHA256:
- af577a52554563a6703f34d127d455fe06fc018a4cca0578f8f207d64c061483
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