Instructions to use lora-library/egbert-source-imagemagick-scale2x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/egbert-source-imagemagick-scale2x 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-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lora-library/egbert-source-imagemagick-scale2x") prompt = "egbert" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5429e3cc4b4ebcd03f9c82e127ee7811d1f092ef67cc4245419ffd69ddd51587
- Size of remote file:
- 3.49 MB
- SHA256:
- 1aa5c5bc6cab3caae39ef29858a7a5def69d984be373be01851e0504e66d89a1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.