Instructions to use sandeshrajx/AnyPastel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sandeshrajx/AnyPastel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sandeshrajx/AnyPastel", 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:
- f8bf2503acce74eaf54a9c241928ccf0390f159b82cbe5354c65f39374120eca
- Size of remote file:
- 167 MB
- SHA256:
- 3ba4b54fffb0fb79e97ab3d8c58dc30221f395ae410211b6c15aa111da011072
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