Instructions to use Stereo0001/Krea-2-NF4-for-LoRA-Training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Stereo0001/Krea-2-NF4-for-LoRA-Training with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Stereo0001/Krea-2-NF4-for-LoRA-Training", 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
- Xet hash:
- 3b4fd816076637964462dfe85ec0ca1e8a5053996f0252a17e8e9e19682118df
- Size of remote file:
- 160 Bytes
- SHA256:
- ec5901a2d0b8f4e4e1e7e62fe4567566f0837799f7a413b03a06f72f47934dda
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