Instructions to use PJDoes/basedguy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PJDoes/basedguy 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("PJDoes/basedguy") prompt = "GUY" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5b1f2ff6d0e77b187a3e6af0ed682a2bebad3d85cf496bfcccf66229cd37bc68
- Size of remote file:
- 247 MB
- SHA256:
- abf21ac7609bedc48dbea36e0fe80d2c8663c0734ee1b985ef059d543c76f37f
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