Instructions to use Darkeno/Rosie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Darkeno/Rosie with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Darkeno/Rosie") prompt = "masterpiece, picture of a 18 year old young adult russian girl legs spread near the jacuzzi on a billion dollar yacht, beautiful, very youthful, detailed face, perfect face, symmetrical face, angel face, lustful eyes, (long blonde twin tails hair:1.2), (skinny figure, narrow hips, thin thighs, thin legs:1.1), (large breasts:1), topless, bare breasts, (jewelry:1.1), islands and ocean background, (front view:1), soft focus + ambient lighting, Rosa, furry, dog furry, rozbar, onahole, 1girl, 1boy, sitting, handjob, couple, <lora:URPMv1.3_LORA_296:.5>, <lora:BarboskinyFem_Vpred:.5>, <lora:rozbar-15:.5>, <lora:Pose_Onahole-DEF:.5>, <lora:sitting_handjob_v0.3:.5>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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