Instructions to use editmilliionss/modelhot2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use editmilliionss/modelhot2.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("editmilliionss/modelhot2.0") prompt = "A black man and a white woman are in the middle of having sex on a bed covered with white sheets. They are in the cowgirl position, with the man lying on his back with his legs spread wide apart in the foreground, while the woman straddles him, leaning far forward over his upper body so her back and butt are prominently displayed. The man's hands are firmly grasping and slightly spreading the woman's pale butt, slightly spreading her anus and his dark, erect penis fully penetrating her wet vagina." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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