Instructions to use ProomptEngineer/pe-funko-pop-diffusion-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ProomptEngineer/pe-funko-pop-diffusion-style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ProomptEngineer/pe-funko-pop-diffusion-style") prompt = "PEPopFigure" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download 2219684.jpeg from ProomptEngineer/pe-funko-pop-diffusion-style: direct link, hf CLI and curl.
- Browser
- Download file 39.6 kB
-
https://huggingface.co/ProomptEngineer/pe-funko-pop-diffusion-style/resolve/main/2219684.jpeg
- Command line
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hf download hf://ProomptEngineer/pe-funko-pop-diffusion-style/2219684.jpeg
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curl -L -o 2219684.jpeg https://huggingface.co/ProomptEngineer/pe-funko-pop-diffusion-style/resolve/main/2219684.jpeg
39.6 kB
