Instructions to use pimpilikipilapi1/bj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pimpilikipilapi1/bj 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("pimpilikipilapi1/bj") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 2 files
Browse files- bj.safetensors +3 -0
- images/88033561.webp +3 -0
bj.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:45f91a65599c8026cc2210b7e16c3d2133e8e27d0755244b6e1fdfe5df40969f
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size 38405112
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images/88033561.webp
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Git LFS Details
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