Instructions to use Tinsae/copper-sd1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Tinsae/copper-sd1.5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tinsae/copper-sd1.5", 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
- Draw Things
- DiffusionBee
- Xet hash:
- df942e73ecd4727f7aa992cb9df8c86249cbd6cc8ec0849b7c8bb3a8136565af
- Size of remote file:
- 681 MB
- SHA256:
- 675b811c894311ef4d61500015186092769c43938367438711c5bbd8116f6ab6
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