Instructions to use diffusers-test/testcliper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-test/testcliper with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers-test/testcliper", 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:
- 445cd281de33bbd3b56e9fbe0341e9a30321cb79eedfa5960beccf76ea094eb1
- Size of remote file:
- 2.59 GB
- SHA256:
- 4708cd2b427d892089c42669c5972ad8076826f775ab219fb4f6f4e34186e2af
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