Text-to-Image
Diffusers
Trained with AutoTrain
stable-diffusion
stable-diffusion-diffusers
lora
template:sd-lora
Instructions to use throaway2854/autotrain-SD2-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use throaway2854/autotrain-SD2-1 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-2-1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("throaway2854/autotrain-SD2-1") prompt = "1futa,anime,areola,balls,big balls,big breasts,big penis,bimbo,bimbo futanari,black hair,blue eyes,blush,bodily fluids,breasts,breasts bigger than head,breasts out,cock,cum,curvy,dickgirl,earrings,ejaculation,exposed penis,flaccid,flaccid penis,foreskin,front view,futa only,futa sans pussy,futanari,hanging balls,hanging penis,huge cock,hung,hung futanari,leaking cum,lipstick,long hair,looking at viewer,nipples,partially retracted foreskin,penis,precum,precum drip,robe,sitting,sitting on bed,solo,solo futa,testicles,thick thighs,tits out,uncut,veins,veiny,veiny penis" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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