Text-to-Image
Diffusers
Krea2Pipeline
custom_krea2
image-generation
quantized
4-bit precision
int4
turbo
krea
krea-2
quantfunc
comfyui
Instructions to use QuantFunc/Krea-2-QuantFunc-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use QuantFunc/Krea-2-QuantFunc-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("QuantFunc/Krea-2-QuantFunc-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
Add assets/krea2_show3.webp
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- assets/krea2_show3.webp +3 -0
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assets/krea2_show3.webp
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Git LFS Details
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