Instructions to use Yedheenok1234/Natty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yedheenok1234/Natty with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Yedheenok1234/Natty") prompt = "Ultra photorealistic hardcore porn video 10 seconds, exact same Thai woman face from uploaded reference image preserved 100% identity locked no morphing no change, voluptuous body with massive heavy natural breasts violently bouncing and slapping together with each brutal thrust, intense missionary pounding on rumpled bed sheets, legs forced wide apart in full eagle spread exposing dripping shaved pussy completely, extreme close-up camera on penetration: thick veiny erect cock slamming balls-deep into tight wet pussy repeatedly, detailed visible shaft sliding in and out stretching pink labia wide open, inner pussy walls gripping and pulsing around cock, creamy white fluids coating shaft and dripping down ass crack, pussy gaping slightly on pull-out showing creamy mess inside, swollen clit throbbing, juices squirting lightly with hard thrusts, breasts grabbed roughly squeezed leaving red marks, nipples hard erect leaking sweat, ecstatic ahegao orgasm face eyes rolled back tongue out drooling, heavy moaning implied wet slapping flesh sounds, sweat beads rolling down cleavage and body, friend filming POV from side close-up angle capturing full explicit view of cock destroying pussy, warm dim bedroom lighting realistic shadows skin pores detailed textures, high detail 4K 60fps smooth intense rhythm slow deep start then rapid brutal pounding to explosive creampie: thick ropes of cum pumping deep inside overflowing leaking out around shaft down to asshole, uncensored explicit NSFW no censorship mosaic blur" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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