Text-to-Image
Diffusers
ONNX
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use TheyCallMeHex/Ghibli-Diffusion-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheyCallMeHex/Ghibli-Diffusion-ONNX with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheyCallMeHex/Ghibli-Diffusion-ONNX", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Added template files
777c7b5
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Added cliptokenizer file
455206f
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Adding missing logo file
10262d9 -
Exported model to ONNX
98d7114 -
initial commit
cc1876f