Instructions to use bardofcodes/pattern_analogies with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bardofcodes/pattern_analogies with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bardofcodes/pattern_analogies", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,6 +1,13 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: other
|
| 3 |
-
license_name: adobe-research-license
|
| 4 |
-
license_link: LICENSE
|
| 5 |
-
library_name: diffusers
|
| 6 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: other
|
| 3 |
+
license_name: adobe-research-license
|
| 4 |
+
license_link: LICENSE
|
| 5 |
+
library_name: diffusers
|
| 6 |
+
base_model:
|
| 7 |
+
- shi-labs/versatile-diffusion
|
| 8 |
+
pipeline_tag: image-to-image
|
| 9 |
+
tags:
|
| 10 |
+
- Editing
|
| 11 |
+
- Analogy
|
| 12 |
+
- Patterns
|
| 13 |
+
---
|