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
- Draw Things
- DiffusionBee
Ctrl+K
- checkpoint-100
- checkpoint-1000
- checkpoint-150
- checkpoint-200
- checkpoint-250
- checkpoint-300
- checkpoint-350
- checkpoint-400
- checkpoint-450
- checkpoint-50
- checkpoint-500
- checkpoint-550
- checkpoint-600
- checkpoint-650
- checkpoint-700
- checkpoint-750
- checkpoint-800
- checkpoint-850
- checkpoint-900
- checkpoint-950
- 1.71 kB
- 664 Bytes
- 1.27 MB xet
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- 23.7 MB xet