Instructions to use stuff123456/krea2realisticsnapshot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stuff123456/krea2realisticsnapshot 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-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("stuff123456/krea2realisticsnapshot") prompt = " Z-Image-Turbo tips Use strength 0.60β0.70. Optional tags: Camera roll: amateur digital snapshot, candid, smartphone capture, high ISO noise, direct on-camera flash Detail: visible pores, visible vellus hair, subsurface scattering, detailed skin texture Optics: wide-angle lens, barrel distortion, chromatic aberration, depth of field" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
krea2realisticsnapshot

- Prompt
- Z-Image-Turbo tips Use strength 0.60β0.70. Optional tags: Camera roll: amateur digital snapshot, candid, smartphone capture, high ISO noise, direct on-camera flash Detail: visible pores, visible vellus hair, subsurface scattering, detailed skin texture Optics: wide-angle lens, barrel distortion, chromatic aberration, depth of field
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