Instructions to use anthienlong/hourglass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anthienlong/hourglass 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("anthienlong/hourglass") prompt = "hourglass body shape, a realistic photo of a woman wearing red tracksuit posing seductively, beautiful horizon of the city in the background, sun, reflections, white hair <lora:hourglassv2_flux:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files- hourglassv2_flux.safetensors +3 -0
- images/hourglass.jpeg +3 -0
hourglassv2_flux.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9830f79604ebc49c85965202529dc9399b1b1022fec3895ef0bd0329c81e0f1c
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size 153293920
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images/hourglass.jpeg
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Git LFS Details
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