Instructions to use alarazin/lora-trained-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alarazin/lora-trained-xl 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-0.9", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("alarazin/lora-trained-xl") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_3.png from alarazin/lora-trained-xl: direct link, hf CLI and curl.
- Browser
- Download file 1.65 MB
-
https://huggingface.co/alarazin/lora-trained-xl/resolve/main/image_3.png
- Command line
-
hf download hf://alarazin/lora-trained-xl/image_3.png
-
curl -L -o image_3.png https://huggingface.co/alarazin/lora-trained-xl/resolve/main/image_3.png
1.65 MB

- Xet hash:
- 287ed9b90fd3942d5a117953babd470fb145ad25cc9d6fc2066f8c80559bdae4
- Size of remote file:
- 1.65 MB
- SHA256:
- f462815dbc899a8cead88fb351a8d535ca68125b839e0088ed556d65eaa41ad3
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