Instructions to use martineux/circus4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use martineux/circus4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("martineux/circus4", 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:
- 136c5aee5cfabb7cfede9522e0052b9c1f7a7e17e90c81d0b2ccae07220e7b50
- Size of remote file:
- 167 MB
- SHA256:
- 8d07f907d4aa26ddc54b54894afe4b35d0269ef61dd151b50b4f2e8eab84bb9d
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