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
- Xet hash:
- 2de36256dad8a893dd57af43c24a6d0498eb0795716b013aeb32ad09968057be
- Size of remote file:
- 3.49 MB
- SHA256:
- ed8f60f7290977c4da9c9401f08e4798085e2b5ebce24299f9610fdbd087b0c8
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