Instructions to use ampp/Guuuurl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ampp/Guuuurl 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ampp/Guuuurl") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download images/sdxlTurbo_UpsclImgWitModel_4x_DwnRes_00155_.jpeg from ampp/Guuuurl: direct link, hf CLI and curl.
- Browser
- Download file 936 kB
-
https://huggingface.co/ampp/Guuuurl/resolve/main/images/sdxlTurbo_UpsclImgWitModel_4x_DwnRes_00155_.jpeg
- Command line
-
hf download hf://ampp/Guuuurl/images/sdxlTurbo_UpsclImgWitModel_4x_DwnRes_00155_.jpeg
-
curl -L -o sdxlTurbo_UpsclImgWitModel_4x_DwnRes_00155_.jpeg https://huggingface.co/ampp/Guuuurl/resolve/main/images/sdxlTurbo_UpsclImgWitModel_4x_DwnRes_00155_.jpeg
936 kB

- Xet hash:
- 2878e51228bf537d1c0f63a73f11d3b24651eda4e184238e2702b6da13480975
- Size of remote file:
- 936 kB
- SHA256:
- 7ccf447400525c6e5cb9e7bbbd3cca0ded973bf0253c42739f1f7d4f85123063
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