Instructions to use vaishnavia40/stack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vaishnavia40/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/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
Download sample_images/data_stack.webp from vaishnavia40/stack: direct link, hf CLI and curl.
- Browser
- Download file 3.53 kB
-
https://huggingface.co/vaishnavia40/stack/resolve/main/sample_images/data_stack.webp
- Command line
-
hf download hf://vaishnavia40/stack/sample_images/data_stack.webp
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curl -L -o data_stack.webp https://huggingface.co/vaishnavia40/stack/resolve/main/sample_images/data_stack.webp
3.53 kB
