Instructions to use vladmandic/Krea-2-Base-sdnq-hadamard-uint4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vladmandic/Krea-2-Base-sdnq-hadamard-uint4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vladmandic/Krea-2-Base-sdnq-hadamard-uint4", 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
Create README.md
Browse files
README.md
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Prequantized version of <https://huggingface.co/CalamitousFelicitousness/Krea-2-Base-Diffusers>
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Method: *SDNQ with Hadamard+Dynamic in UINT4*
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For use in [SD.Next](https://vladmandic.github.io/sdnext/) or with [SDNQ](https://github.com/Disty0/sdnq) standalone package
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