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:
- af842787701c30c1373a94b1f51ca7dff7d655c4f13f228eb5fd2febad0eb1d1
- Size of remote file:
- 3.44 GB
- SHA256:
- b058adc2bbc3495b19599b4c352d36fc8a7483c8287e230e781661fe4d1343b5
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