Instructions to use liming518/krea2pulledout with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use liming518/krea2pulledout 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("liming518/krea2pulledout") prompt = "Cropped example picture from the creator" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: >- | |
| images/img0.jpg | |
| text: >- | |
| Cropped example picture from the creator | |
| - output: | |
| url: >- | |
| images/img1.jpg | |
| text: >- | |
| Cropped censored image I created with this lora | |
| base_model: krea/Krea-2-Turbo | |
| instance_prompt: null | |
| # Lora for Krea 2 Turbo | |
| excessive saliva version | |
| <Gallery /> | |