Instructions to use daceteate/realHUmans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use daceteate/realHUmans 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("daceteate/realHUmans") prompt = "score_9, score_8_up, score_7_up, score_6_up, 1girl, 18yo, beautiful photograph,, pubes, large 34D natural saggy breasts, pretty, (slender:1.1), (thin:1.2), fit, petite, slim legs, freckles, beautiful perfect eyes, (eyes looking up:1.1), brown hair, naked, choker, embarrassed, expressiveh, skin details, fashion photography, orange light, amazing smile, grin, (dynamic background:0.8), high quality, sharp, dynamic angle, full body shot, shaved vagina, touch-of-realismV2, Close shot. Lying over lateral side. One Leg rising. (((Cut off pubis hair:1.5))) Ultra erotic posing. Playboy art., shocked expression, surprised," image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!