Instructions to use cjsaveas-org/Ghostbuster with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cjsaveas-org/Ghostbuster 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("cjsaveas-org/Ghostbuster") prompt = "ghostbuster uniform, large breasts, wide hips, indoors, full body, hotel room, protopack, holding weapon, energy gun, lightning, visor cap, furrowed brow, <lora:Ghostbuster5:0.6>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files- Ghostbuster5.safetensors +3 -0
- images/Ghostbuster5.jpeg +3 -0
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version https://git-lfs.github.com/spec/v1
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size 37877325
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images/Ghostbuster5.jpeg
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Git LFS Details
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