Instructions to use stabilityai/stable-diffusion-x4-upscaler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/stable-diffusion-x4-upscaler 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-diffusion-x4-upscaler", 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
#11
by nayamuldesign - opened
README.md
CHANGED
|
@@ -3,7 +3,7 @@ license: openrail++
|
|
| 3 |
tags:
|
| 4 |
- stable-diffusion
|
| 5 |
- text-to-image
|
| 6 |
-
inference:
|
| 7 |
---
|
| 8 |
|
| 9 |
# Stable Diffusion x4 upscaler model card
|
|
|
|
| 3 |
tags:
|
| 4 |
- stable-diffusion
|
| 5 |
- text-to-image
|
| 6 |
+
inference: true
|
| 7 |
---
|
| 8 |
|
| 9 |
# Stable Diffusion x4 upscaler model card
|