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 Settings
- Draw Things
- DiffusionBee
Rename jacob-image-test-flux_000002000.safetensors to FLUXd-jacob-v0.1_000002000.safetensors
bd9ded9 verified - Xet hash:
- 077ac2875eb34884412541d308359367d8f01ae67842d5b84b0c665b44471c8a
- Size of remote file:
- 172 MB
- SHA256:
- 2e9a27ac40814e5ab194b0464b7ce39c688e137b0ecff28413f6273a0044953b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.