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
Download LICENSE.pdf from lvladikov/Krea2-Turbo-Distill-2step-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 138 kB
-
https://huggingface.co/lvladikov/Krea2-Turbo-Distill-2step-LoRA/resolve/main/LICENSE.pdf
- Command line
-
hf download hf://lvladikov/Krea2-Turbo-Distill-2step-LoRA/LICENSE.pdf
-
curl -L -o LICENSE.pdf https://huggingface.co/lvladikov/Krea2-Turbo-Distill-2step-LoRA/resolve/main/LICENSE.pdf
138 kB
- Xet hash:
- 8dea6bb1be86d10ba085657c59b72f7d88ef4a8424dd9d87af2deb9b52484a6d
- Size of remote file:
- 138 kB
- SHA256:
- b82a2805162bde714a4eb27b9063c4fc3345d08a30be055134a6160e5430ba74
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