Instructions to use dorni/UniVerse-1-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dorni/UniVerse-1-Base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dorni/UniVerse-1-Base", 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
i'm guessing this won't run on 32gb 5090 until is quantized?
#2 opened 8 months ago
by
johndpope
Update pipeline tag to `any-to-any` and add paper abstract
#1 opened 8 months ago
by
nielsr