Instructions to use lvladikov/Krea2-Turbo-Distill-2step-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lvladikov/Krea2-Turbo-Distill-2step-LoRA 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-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lvladikov/Krea2-Turbo-Distill-2step-LoRA") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K
- 150 kB xet
- 112 kB xet
- 37.6 kB
- 54.6 kB
- 55.4 kB xet
- 174 kB xet
- 122 kB xet
- 37.6 kB
- 68.7 kB
- 66.1 kB xet
- 196 kB xet
- 136 kB xet
- 56.5 kB
- 82.5 kB
- 75.9 kB
- 206 kB xet
- 145 kB xet
- 50.7 kB
- 82.9 kB
- 82.7 kB
- 176 kB xet
- 134 kB xet
- 59.1 kB
- 70 kB
- 66.4 kB
- 165 kB xet
- 118 kB xet
- 46 kB
- 63 kB
- 64.1 kB
- 189 kB xet
- 140 kB xet
- 58.2 kB
- 73.9 kB
- 76.1 kB
- 184 kB xet
- 130 kB xet
- 44.8 kB xet
- 72 kB
- 72.3 kB xet
- 204 kB xet
- 144 kB xet
- 49.7 kB xet
- 80.1 kB
- 84.2 kB xet
- 189 kB xet
- 137 kB xet
- 56.1 kB
- 73.6 kB
- 75.4 kB