Instructions to use Beinsezii/Krea-2-Turbo-Projector-Scale-LoRA-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Beinsezii/Krea-2-Turbo-Projector-Scale-LoRA-Diffusers 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("Beinsezii/Krea-2-Turbo-Projector-Scale-LoRA-Diffusers") 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
File size: 299 Bytes
bdae485 3fe9187 bdae485 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | ---
base_model:
- krea/Krea-2-Turbo
tags:
- lora
library_name: diffusers
---
Effectively increases prompt adherence in a manner that's a bit different than CFG. Helps when the model isn't following instructions correctly.
```
- 0.01 weight = +1×
- 0.1 weight = +10×
- 1.0 weight = +100×
```
|