Instructions to use chuck99/yasmine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chuck99/yasmine 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("chuck99/yasmine") prompt = "Yaz1 standing in a bedroom, looking nervous. CGI 3d cartoon style." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ chuck99/yasmine

- Prompt
- Yaz1 standing in a bedroom, looking nervous. CGI 3d cartoon style.

- Prompt
- Yaz1, large breasts, wearing a purple bikini on a beach, semi-realistic digital illustration.

- Prompt
- Yaz1, wearing bluejeans and a tank top in a realistic illustration style.
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 Yaz1 to invoke the concept.
Samples
"Yaz1 standing in a bedroom, looking nervous. CGI 3d cartoon style."
"Yaz1, large breasts, wearing a purple bikini on a beach, semi-realistic digital illustration."
"Yaz1, wearing bluejeans and a tank top in a realistic illustration style."
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("chuck99/yasmine")
image = pipe("Yaz1 standing in a bedroom, looking nervous. CGI 3d cartoon style.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for chuck99/yasmine
Base model
krea/Krea-2-Raw

