Instructions to use latentbroadcasting/experimentalPH with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use latentbroadcasting/experimentalPH 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("latentbroadcasting/experimentalPH") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 132 Bytes
5fe3ffa | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:eba083221ae04a5981db657a433d05a1f2511124be2969326a13514f6b22f408
size 1641410
|