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:
- e5e3e7cd95e9388d1c70f1f86a5609793fcb1135bd3755f727d3f3f138288947
- Size of remote file:
- 3.49 MB
- SHA256:
- c0db6a1af41ffa0511c44973f6f5be252b9b5e24697d418e23a8b920288a12f5
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