Instructions to use GSV1510/sd-flower-diffusion-32px with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GSV1510/sd-flower-diffusion-32px with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GSV1510/sd-flower-diffusion-32px", 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:
- d64cb317d36f8786d9f11ea571179152504fdeb56e24ac7af3f68457dbd7561f
- Size of remote file:
- 74.2 MB
- SHA256:
- 66d4fbe7fa927ed5277c4756d6d5182a76c76059323cc5fea2f32d1b4cc710c3
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