Instructions to use PriShenoy/pri with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PriShenoy/pri with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PriShenoy/pri", 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
Welcome to Pixel AI: A Dreambooth model for text-to-image conversion by Prithvi Shenoy
Project Submission Code: *********
Stable Diffusion
Stable Diffusion is a state-of-the-art generative AI model that creates detailed images from textual descriptions, revolutionizing the way we generate and interact with digital content.
Sample pictures of this concept:
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