Instructions to use AiArtLab/sdxl_vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiArtLab/sdxl_vae with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AiArtLab/sdxl_vae", 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 (Fix)
#2
by qpqpqpqpqpqp - opened
README.md
CHANGED
|
@@ -16,7 +16,7 @@ aiartlab/SDXLVAE | MSE=1.736e-03 PSNR=30.29 LPIPS=0.116 Edge=0.181 KL=
|
|
| 16 |
```
|
| 17 |
=== Percent ===
|
| 18 |
```
|
| 19 |
-
|
|
| 20 |
|----------------------------|-----------|-----------|-----------|-----------|
|
| 21 |
| SDXL VAE fp16 fix | 100% | 100% | 100% | 100% |
|
| 22 |
| aiartlab/SDXLVAE | 116.3% | 102.1% | 107.3% | 103.7% |
|
|
|
|
| 16 |
```
|
| 17 |
=== Percent ===
|
| 18 |
```
|
| 19 |
+
| Model | MSE | PSNR | LPIPS | Edge |
|
| 20 |
|----------------------------|-----------|-----------|-----------|-----------|
|
| 21 |
| SDXL VAE fp16 fix | 100% | 100% | 100% | 100% |
|
| 22 |
| aiartlab/SDXLVAE | 116.3% | 102.1% | 107.3% | 103.7% |
|