Instructions to use stuff123456/krea2SNOFS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stuff123456/krea2SNOFS 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-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("stuff123456/krea2SNOFS") prompt = "Here's a list of some of the terms that work well: anus blowjob boudoir condoms deepthroat braless cowgirl position cum cunnilingus (be specific and maybe put kissing in the negative prompt) deepthroat dildo doggystyle position fingering (anal and vaginal) hand in panties handjob hitachi magic wand implied blowjob ipcam / nightvision ipcam masturbating (might want to put penis in negative prompt, or specify what she's rubbing for women) massage missionary position naked, nude, etc. penis pregnant (and can specify trimester) prone position reverse cowgirl position sex sheer snapchat (and caption/text/etc) selfie (and mirror selfie) spooning position strap-on dildo tentacles licking testicles undressing vagina wet clothes Depending on the version, the following might work: anal sex anilingus" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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