Instructions to use n8te0/highres_krea2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use n8te0/highres_krea2 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-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("n8te0/highres_krea2") prompt = "uhdmanscale" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: images/Compare_00003_.png | |
| text: uhdmanscale | |
| base_model: krea/Krea-2-Raw | |
| instance_prompt: uhdmanscale | |
| # HighRes-Krea2 | |
| <Gallery /> | |
| ## Model description | |
| This is a high-resolution krea 2 LoKr model trained on a LR/HR dataset of human images. | |
| It can be used for t2i and i2i/edit (with the Krea 2 Ostris Edit node: https://github.com/ostris/ComfyUI-Krea2-Ostris-Edit). | |
| The dataset included SFW and NSFW images and generally doesn't need a bypass lora to produce NSFW imagery (it was not extensively trained for this so other loras will be needed for that type of output). | |
| ## Trigger words | |
| You should use `uhdmanscale` to trigger the image generation. | |
| ## Download model | |
| [Download](/n8te0/highres_krea2/tree/main) them in the Files & versions tab. | |