Instructions to use Prason/diff_research_prason with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Prason/diff_research_prason with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Prason/diff_research_prason", 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
- Xet hash:
- a06976604a87b65fc428cd6e8faaa6d9cd6f03b8f6f32f84ed96d2f3e7d8e7be
- Size of remote file:
- 455 MB
- SHA256:
- 10663329a58de3491a3f09021957077cc800aeed726a5da9194ed6cad15b0b51
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