Instructions to use LelouchR18/k2char-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LelouchR18/k2char-v1 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("LelouchR18/k2char-v1") prompt = "k2char woman, natural portrait photo, casual clothing, looking at the camera, realistic photography, soft natural light" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ LelouchR18/k2char-v1

- Prompt
- k2char woman, natural portrait photo, casual clothing, looking at the camera, realistic photography, soft natural light

- Prompt
- k2char woman, full body photo, standing outdoors on a street, casual clothing, natural pose, realistic photography

- Prompt
- k2char woman, seated indoors at a cafe, different outfit, candid expression, natural lighting, realistic photography
A DreamBooth-LoRA for Krea 2, trained on Krea 2 RAW and shown on Krea 2 Turbo. The samples below were generated with this LoRA on Turbo (8 steps).
Trigger
Use the token k2char woman to invoke the concept.
Samples
"k2char woman, natural portrait photo, casual clothing, looking at the camera, realistic photography, soft natural light"
"k2char woman, full body photo, standing outdoors on a street, casual clothing, natural pose, realistic photography"
"k2char woman, seated indoors at a cafe, different outfit, candid expression, natural lighting, realistic photography"
Use it with diffusers
import torch
from diffusers import Krea2Pipeline
pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16).to("cuda")
pipe.load_lora_weights("LelouchR18/k2char-v1")
image = pipe("k2char woman, natural portrait photo, casual clothing, looking at the camera, realistic photography, soft natural light", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for LelouchR18/k2char-v1
Base model
krea/Krea-2-Raw

