Instructions to use carvychen/db-lora-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use carvychen/db-lora-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("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("carvychen/db-lora-xl") prompt = "shs inkpainting" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_2.png from carvychen/db-lora-xl: direct link, hf CLI and curl.
- Browser
- Download file 1.25 MB
-
https://huggingface.co/carvychen/db-lora-xl/resolve/main/image_2.png
- Command line
-
hf download hf://carvychen/db-lora-xl/image_2.png
-
curl -L -o image_2.png https://huggingface.co/carvychen/db-lora-xl/resolve/main/image_2.png
1.25 MB

- Xet hash:
- 8de2d9aa4771377dc27fde75567d60327e5307bbe3ef1251a41eeeb657118499
- Size of remote file:
- 1.25 MB
- SHA256:
- 8e2f9baf85e979c3e65b036bdde92e1a8eadc9e1a20d657a3c8198a67b6757f5
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