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:
- e85b6eede1ccb1e4cfac74f21cf2a172f23e6025a4d0a19e3dc60e362d35eaca
- Size of remote file:
- 1.22 GB
- SHA256:
- c0abb19a705a48a11cf093ca7079e1e4c8be1b50dc7c64d5d6b79d98f50f57c6
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