Instructions to use stabilityai/stable-cascade with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/stable-cascade with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-cascade", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
update README
Browse files
README.md
CHANGED
|
@@ -204,7 +204,7 @@ decoder_output.save("cascade-single-file.png")
|
|
| 204 |
### Using the `StableCascadeCombinedPipeline`
|
| 205 |
|
| 206 |
```python
|
| 207 |
-
from
|
| 208 |
|
| 209 |
pipe = StableCascadeCombinedPipeline.from_pretrained("stabilityai/stable-cascade", variant="bf16", torch_dtype=torch.bfloat16)
|
| 210 |
|
|
|
|
| 204 |
### Using the `StableCascadeCombinedPipeline`
|
| 205 |
|
| 206 |
```python
|
| 207 |
+
from diffusers import StableCascadeCombinedPipeline
|
| 208 |
|
| 209 |
pipe = StableCascadeCombinedPipeline.from_pretrained("stabilityai/stable-cascade", variant="bf16", torch_dtype=torch.bfloat16)
|
| 210 |
|