Instructions to use Dawidkol/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Dawidkol/test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Dawidkol/test") prompt = "Damian Czyzycki" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download diffusion_pytorch_model.bin from Dawidkol/test: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/Dawidkol/test/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Dawidkol/test/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Dawidkol/test/resolve/main/diffusion_pytorch_model.bin
167 MB
- Xet hash:
- 7fc36c1f20919d349477ca2438c84609e292093fef21ce7e0f3f8a054e657e73
- Size of remote file:
- 167 MB
- SHA256:
- da1839762abf114c1785fffe5518c4449d01d277f7ea7521012f38783f1a5937
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