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
Upload README.md
Browse files
README.md
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└── raw-LoRA-7steps-experiment/ Krea 2 Raw + this LoRA at 7 steps (Using it on Raw)
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Two ways to read: down the sweep (does it hold across resolutions?) or against the teacher and the floor (open the same file in each folder).
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## Bonus: 1-Step Extreme Test
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└── raw-LoRA-7steps-experiment/ Krea 2 Raw + this LoRA at 7 steps (Using it on Raw)
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```
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## Bonus: 1-Step Extreme Test
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