Instructions to use custom-diffusion-library/cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use custom-diffusion-library/cat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("custom-diffusion-library/cat", 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
Update README.md
Browse files
README.md
CHANGED
|
@@ -27,3 +27,6 @@ pipe = pipe.to(device)
|
|
| 27 |
prompt = "<new1> cat swimming in a pool"
|
| 28 |
images = pipe(prompt, num_inference_steps=200, guidance_scale=6., eta=1.).images
|
| 29 |
```
|
|
|
|
|
|
|
|
|
|
|
|
| 27 |
prompt = "<new1> cat swimming in a pool"
|
| 28 |
images = pipe(prompt, num_inference_steps=200, guidance_scale=6., eta=1.).images
|
| 29 |
```
|
| 30 |
+
|
| 31 |
+
<img src='https://huggingface.co/nupurkmr9/custom_diffusion_cat/blob/main/cat.png' align="center" width=800>
|
| 32 |
+
|