Instructions to use paulbasic/flux_paulbasic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use paulbasic/flux_paulbasic 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("paulbasic/flux_paulbasic") prompt = "Paulbasic" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 909960a86808a1ab727ec0b44c9c834374b59d7af78976e5041fec2b7351cea9
- Size of remote file:
- 172 MB
- SHA256:
- 437aa3a6e87b539417eb94bdfc31ed698d29e15e9697f4da6ecfd5646b77a956
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