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:
- 6da87507646e11eb16b34c3d3b09361c573aee192bc919808297ae1074cbf773
- Size of remote file:
- 3.42 MB
- SHA256:
- 0ea7ec1d3d423d13ad3d0a2d890bc9f7b636d8d600a40314c3da5b232c0ff982
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