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_06429_.png from latentbroadcasting/experimentalPH: direct link, hf CLI and curl.
- Browser
- Download file 980 kB
-
https://huggingface.co/latentbroadcasting/experimentalPH/resolve/main/images/ComfyUI_06429_.png
- Command line
-
hf download hf://latentbroadcasting/experimentalPH/images/ComfyUI_06429_.png
-
curl -L -o ComfyUI_06429_.png https://huggingface.co/latentbroadcasting/experimentalPH/resolve/main/images/ComfyUI_06429_.png
980 kB

- Xet hash:
- b3d8b77820c75f34e55f908936fab326cb78a16ebaede6a39e7816bc8cd9b3ce
- Size of remote file:
- 980 kB
- SHA256:
- c3c174d75389ba71547424aaa79cced9fad40d6da796182513ae884b358bf783
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