Instructions to use EnD-Diffusers/postItNoteMix_v15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/postItNoteMix_v15 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/postItNoteMix_v15", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 4407f1b6d0cfa2e905429cb987029e7a4cf231e8963a970710e76585b25d4856
- Size of remote file:
- 3.44 GB
- SHA256:
- 7d6b6578a4396ababaf47b7dd988a4c57c7c8f83b3eda29ae834cdea1acf6622
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