Instructions to use Alex995647/loras-krea-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Alex995647/loras-krea-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Alex995647/loras-krea-2") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Add 25 LoRA(s): dc-dark-fantasy-style-2, 80s-commercial-essential-1983, krea2-90s-movie-grit, kreaphotoart…
7b409e0 verified 
- Xet hash:
- 263547806d012c0303e9ee325676f8fa41fed4934b86be7b39c1c1d9da262d04
- Size of remote file:
- 170 kB
- SHA256:
- b2cf100cfa662bb9d9199bb7b8e4f5313c112ffc7252dc6c02d42eb3c6b220c1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.