Instructions to use OzzyGT/Krea_2_Turbo_sdnq_dynamic_4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OzzyGT/Krea_2_Turbo_sdnq_dynamic_4bit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OzzyGT/Krea_2_Turbo_sdnq_dynamic_4bit", 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
Krea 2 Turbo SDNQ Dynamic INT4
This is an int4 quantized version of krea/Krea-2-Turbo using SDNQ (SD.Next Quantization) with the dynamic option and Hadamard Rotation.
Note: You need SDNQ v0.2.0 or superior
Usage
You can find ready-to-use scripts in the diffusers-recipes repository.
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