Instructions to use Tinsae/copper-sd-version2-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Tinsae/copper-sd-version2-1 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-sd-version2-1", 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:
- 728a658fc518bf8a9f3d4176cb4f37c3a94fbcd2fd4f9580efd64086a7f1b9b5
- Size of remote file:
- 3.46 GB
- SHA256:
- a9a2af5159de812cd04193b8a61f2539b1240528abfd9933145dd32cb327c1ff
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