Instructions to use mirroring/pastel-mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mirroring/pastel-mix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mirroring/pastel-mix", 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:
- ddde3cb2d190e8f86f1311ccefcf5c1ac5a7196b8d10c79f671d9791e3942310
- Size of remote file:
- 335 MB
- SHA256:
- 8c0ca36788441539cc5f3c028a053de0783847bf000932e4e70421672f0eca18
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