Instructions to use TheDivergentAI/Krea2-Turbo-Distill-8step-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheDivergentAI/Krea2-Turbo-Distill-8step-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-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("TheDivergentAI/Krea2-Turbo-Distill-8step-LoRA") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download gallery/24_neural_condenser_array.webp from TheDivergentAI/Krea2-Turbo-Distill-8step-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 325 kB
-
https://huggingface.co/TheDivergentAI/Krea2-Turbo-Distill-8step-LoRA/resolve/main/gallery/24_neural_condenser_array.webp
- Command line
-
hf download hf://TheDivergentAI/Krea2-Turbo-Distill-8step-LoRA/gallery/24_neural_condenser_array.webp
-
curl -L -o 24_neural_condenser_array.webp https://huggingface.co/TheDivergentAI/Krea2-Turbo-Distill-8step-LoRA/resolve/main/gallery/24_neural_condenser_array.webp
325 kB

- Xet hash:
- 1bfc37afcbdefb229e3caa4f6878342b44c52267be02e62199a98ab58ef64795
- Size of remote file:
- 325 kB
- SHA256:
- 79a0353ce4df0438b65c726a42cb12e6bb8405f6e1c7e18c3094d0ade55a901c
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