Instructions to use Cournane/SD-FT-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Cournane/SD-FT-0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Cournane/SD-FT-0", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0afb87ea8b2bc2f5f2ed36fc434481d49fe2f7b45265b3f6151937c855d9bce3
- Size of remote file:
- 167 MB
- SHA256:
- b077da819f2fe911e1f48ff99bd4cb16e6df3b79ffeffa76c32defc687704871
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