Instructions to use fusing/sd-image-variations-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fusing/sd-image-variations-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fusing/sd-image-variations-diffusers", 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
- Xet hash:
- f6e91b7204da228e7679e2a178f9d84f1568ddc7964e0d4029c75c71ea4e040a
- Size of remote file:
- 1.71 GB
- SHA256:
- 9ee8b5598b8b3dba3e335c2300fc6124538697e687836134cf3ae01eb19089f0
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