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/kingfisher_turbo_4step.jpg from lvladikov/Krea2-Turbo-Distill-4step-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 345 kB
-
https://huggingface.co/lvladikov/Krea2-Turbo-Distill-4step-LoRA/resolve/main/assets/kingfisher_turbo_4step.jpg
- Command line
-
hf download hf://lvladikov/Krea2-Turbo-Distill-4step-LoRA/assets/kingfisher_turbo_4step.jpg
-
curl -L -o kingfisher_turbo_4step.jpg https://huggingface.co/lvladikov/Krea2-Turbo-Distill-4step-LoRA/resolve/main/assets/kingfisher_turbo_4step.jpg
345 kB

- Xet hash:
- 4c226243106608e2f34f7c4791953408559f6d71efaed423f80c75206f4baedb
- Size of remote file:
- 345 kB
- SHA256:
- bc5cd76e5f184bdf7d32b64115a88a2940b59f0766ebe4d00d9328d5af1b3550
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