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:
- dc11a9d221e6916323899d77c1206645f10033851ded1dd2293a4de49937edee
- Size of remote file:
- 3.44 GB
- SHA256:
- a5a2b1f371ca11292bcbfe4302c3c521f263e1390f4433e53cab763af5eb3855
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