Instructions to use toyxyz/test_diffusers_countefeitv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use toyxyz/test_diffusers_countefeitv2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("toyxyz/test_diffusers_countefeitv2", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 13964c3889099f624a6a3d7d973febe8ba01f61e5482fefb6e208885ed2ed668
- Size of remote file:
- 492 MB
- SHA256:
- 237209fd27c240d7beb315e4bbbb94a77e867a882653fb660ad0d608dcc09eb4
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