Instructions to use YiftachEde/Sharp-It with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YiftachEde/Sharp-It with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("YiftachEde/Sharp-It", torch_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:
- 06812ce39a2572089126272902385d811dea54adc1ad998395294f8b83548ace
- Size of remote file:
- 1.73 GB
- SHA256:
- 73b0461c7aeca91c8188abddd2da6e13d1652df6110a62954120589651b48eaa
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