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
- Xet hash:
- 23020b72515be9e149477ae8c1af6884a75e49132842d7bc69fe62950a2ea1f0
- Size of remote file:
- 23.7 MB
- SHA256:
- 2a01c51d6a53b4678bbcfa4bdaa5fdcfec6cbe2456d6958b10bed56f87712d07
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