Instructions to use MagoMerlot/PSFs_generated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MagoMerlot/PSFs_generated with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MagoMerlot/PSFs_generated", 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:
- 3a5dd5d0f3b5cb24c410f0fc8b901f2ae00f5d3f4e1596386fb28d68e9d341c4
- Size of remote file:
- 455 MB
- SHA256:
- 18ee7e7b0591ce758b17c0e291ef2904e764ab4962317a63bec064e44eb737b0
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