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_1.png from alarazin/lora-trained-xl: direct link, hf CLI and curl.
- Browser
- Download file 1.69 MB
-
https://huggingface.co/alarazin/lora-trained-xl/resolve/main/image_1.png
- Command line
-
hf download hf://alarazin/lora-trained-xl/image_1.png
-
curl -L -o image_1.png https://huggingface.co/alarazin/lora-trained-xl/resolve/main/image_1.png
1.69 MB

- Xet hash:
- 8cd9597e131b622b330c36701553c30752bf16d53cba832c873bf19147d8dc1c
- Size of remote file:
- 1.69 MB
- SHA256:
- 377717b2e1693a851ab0e679f32bf031444084b1ea49b09357815d56082dd364
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