Instructions to use vaishnavia40/stable-diffusion-stack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vaishnavia40/stable-diffusion-stack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vaishnavia40/stable-diffusion-stack", 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:
- 6bad8f446305f5936576a51effd892135c86a768021d286ee2f06b6b4d8aab87
- Size of remote file:
- 2.13 GB
- SHA256:
- 2e0d2fb3a741291da6037a3f8d6adc45c49ee8f95fd2b140c0e00724222de304
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