Instructions to use noema-art/hehehflux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use noema-art/hehehflux 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("noema-art/hehehflux") prompt = "This is a digitally altered image featuring a stylized, cartoonish figure. The central figure is a muscular, shirtless man with an orange skin tone, wearing a black leather jacket with a high collar. The man is holding a silver handgun in his right hand, which is positioned in front of his face. His left hand is gloved and rests on his hip. The man's face has been replaced with a large, round, smiling emoji with red eyes, a wide grin, and exaggerated eyebrows. Behind the figure, there are several red, thin lines radiating outward from the center, giving the impression of a spotlight or a dramatic burst of energy. The background is dark, possibly black, with a pixelated texture that adds a digital, retro feel. The overall style of the image is vibrant and dynamic, blending elements of pop culture and digital art with a heheh aesthetic. The figure's posture and the weapon he holds suggest a sense of action or excitement, while the emoji face adds a playful and ironic twist. The heheh image is rich in color contrasts, with the orange skin tone, black leather, and red lines standing out against the dark, pixelated background." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!