Instructions to use InsecureErasure/Krea2-Turbo-mixed-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use InsecureErasure/Krea2-Turbo-mixed-NVFP4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("InsecureErasure/Krea2-Turbo-mixed-NVFP4", dtype=torch.bfloat16, device_map="cuda") 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
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pipeline_tag: text-to-image
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- krea/Krea-2-Turbo
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license: other
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license_name: krea-2-community-license
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license_link: https://huggingface.co/krea/Krea-2-Turbo/resolve/main/LICENSE.pdf
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base_model_relation: quantized
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license: other
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license_name: krea-2-community-license
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license_link: https://huggingface.co/krea/Krea-2-Turbo/resolve/main/LICENSE.pdf
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