Instructions to use lvladikov/Krea2-Turbo-Distill-4step-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lvladikov/Krea2-Turbo-Distill-4step-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-4step-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
Download assets/poster.jpg from lvladikov/Krea2-Turbo-Distill-4step-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 2.63 MB
-
https://huggingface.co/lvladikov/Krea2-Turbo-Distill-4step-LoRA/resolve/main/assets/poster.jpg
- Command line
-
hf download hf://lvladikov/Krea2-Turbo-Distill-4step-LoRA/assets/poster.jpg
-
curl -L -o poster.jpg https://huggingface.co/lvladikov/Krea2-Turbo-Distill-4step-LoRA/resolve/main/assets/poster.jpg
2.63 MB

- Xet hash:
- 499df4673c5bca4c6b2e82618cbf857fc9eb211e2d107b873264a79f5d729867
- Size of remote file:
- 2.63 MB
- SHA256:
- 0f3c3f3222a7b48c6901273eaa2abe65b2b3b1d8ddead7b5e6d3c7717eca71e5
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