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
Download images/ComfyUI_00149_.png from latentbroadcasting/experimentalPH: direct link, hf CLI and curl.
- Browser
- Download file 1.64 MB
-
https://huggingface.co/latentbroadcasting/experimentalPH/resolve/main/images/ComfyUI_00149_.png
- Command line
-
hf download hf://latentbroadcasting/experimentalPH/images/ComfyUI_00149_.png
-
curl -L -o ComfyUI_00149_.png https://huggingface.co/latentbroadcasting/experimentalPH/resolve/main/images/ComfyUI_00149_.png
1.64 MB

- Xet hash:
- fbc4811c373857203dfcbf70f26723c9438c645a85c9f69df73c38bb3fd30abe
- Size of remote file:
- 1.64 MB
- SHA256:
- eba083221ae04a5981db657a433d05a1f2511124be2969326a13514f6b22f408
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