Instructions to use JacobLinCool/FLUXd-jacob-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JacobLinCool/FLUXd-jacob-v0.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("JacobLinCool/FLUXd-jacob-v0.1") prompt = "Jacob holding a sign that says 'I am Jacob!'" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
#12
by JacobLinCool - opened
Generated example for model JacobLinCool/FLUXd-jacob-v0.1.
Prompt: Jacob, a young man dressed in crisp white tennis attire, grips a tennis racket firmly with both hands. His posture is dynamic and powerful, caught mid-air as he leaps to deliver a smashing hit. The ball, a bright yellow blur, rockets off his racket with intense force. Beads of sweat glisten on his forehead under the bright sunlight, and his determined expression reflects unwavering focus on the game. The tennis court, with its vibrant green surface and white boundary lines, fades into the background, emphasizing the energy of his movement.