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", torch_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:
- a2c7098f1ca89d81c5cc0a5a2178b539505de5155e75188289058903396251d5
- Size of remote file:
- 3.44 GB
- SHA256:
- 5ef0d9cbcb8b449329aa2dba6795282cc9badef88d414039c517668de4341f33
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