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
#3
by JacobLinCool - opened
Generated example for model JacobLinCool/FLUXd-jacob-v0.1.
Prompt: The camera is above Jacob, capturing him as he clings to the cliff face. From this angle, the rough texture of the rock surrounds him, framing his determined figure. His face is turned upward, his eyes scanning the cliff's surface with laser focus, darting from one potential handhold to the next as he calculates the best route.
JacobLinCool changed pull request status to merged