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
Download checkpoint-1000/pytorch_model.bin from antonellaavad/daniels: direct link, hf CLI and curl.
- Browser
- Download file 3.42 MB
-
https://huggingface.co/antonellaavad/daniels/resolve/main/checkpoint-1000/pytorch_model.bin
- Command line
-
hf download hf://antonellaavad/daniels/checkpoint-1000/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/antonellaavad/daniels/resolve/main/checkpoint-1000/pytorch_model.bin
3.42 MB
- Xet hash:
- 9c625944465af4833976a65b050e56dc41c8d35b6db0b72198af27fceb713e8a
- Size of remote file:
- 3.42 MB
- SHA256:
- 01d67dcce48a3f830d37dc85e51d84c692b3742b8882bda5e16aa863fec5dc72
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