Instructions to use hpAreS/my-girl-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hpAreS/my-girl-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("hpAreS/my-girl-model") prompt = "a photo of girl" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 0ca5d6ddefb86974f4179b5068a375e904b70a24956618f2dd62f4c8dd1717ba
- Size of remote file:
- 371 kB
- SHA256:
- 6568f3eb2deeb6cbde76adc69e75b53b9f4e7d66421a7e6811d46492326bf209
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