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
Commit ·
e58a490
1
Parent(s): 7dd5ae6
README.md
Browse filesUnconditional Image Generation
README.md
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- en
|
| 4 |
+
license: apache-2.0
|
| 5 |
+
library_name: diffusers
|
| 6 |
+
tags:
|
| 7 |
+
- unconditional
|
| 8 |
+
- pytorch
|
| 9 |
+
- diffusers
|
| 10 |
+
- datasets
|
| 11 |
+
- accelerator
|
| 12 |
+
|
| 13 |
+
metrics:
|
| 14 |
+
- mahalanobis
|
| 15 |
+
- spearmanr
|
| 16 |
+
|
| 17 |
+
---
|