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_000002750.safetensors to FLUXd-jacob-v0.1_000002750.safetensors
636fc3e verified - Xet hash:
- f0d8d53257a0315a43d507f83fee37812f746a0a5af0aec5aa5fb6b2e3c33612
- Size of remote file:
- 172 MB
- SHA256:
- b4d020ecb016c029f3c30e265a7f493df1ec49e3666ce92a2993b659315010fd
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