Text-to-Image
Diffusers
English
NeuronStableDiffusionImg2ImgPipeline
stable-diffusion
image-to-image
Instructions to use Jingya/Ghibli-Diffusion-Neuronx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jingya/Ghibli-Diffusion-Neuronx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Jingya/Ghibli-Diffusion-Neuronx", 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
- Xet hash:
- c71da78aa8044b7b511ac54a8552b57d3cb93dda4abe10e887ab556c5dc6ebad
- Size of remote file:
- 524 MB
- SHA256:
- 947f2533481f71d93199041d4c5440ab4743ea604a3794357a6e2bcb29900c29
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