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
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Download README.md from fusing/sd-image-variations-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 42 Bytes
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https://huggingface.co/fusing/sd-image-variations-diffusers/resolve/refs%2Fpr%2F4/README.md
- Command line
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hf download hf://fusing/sd-image-variations-diffusers@refs/pr/4/README.md
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curl -L -o README.md https://huggingface.co/fusing/sd-image-variations-diffusers/resolve/refs%2Fpr%2F4/README.md
42 Bytes
metadata
base_model:
- moonshotai/Kimi-K2.5