Instructions to use bunnycore/Z-Art-2.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bunnycore/Z-Art-2.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bunnycore/Z-Art-2.1") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -25,7 +25,10 @@ license: apache-2.0
|
|
| 25 |
|
| 26 |
<Gallery />
|
| 27 |
|
| 28 |
-
|
|
|
|
|
|
|
|
|
|
| 29 |
|
| 30 |
## Download model
|
| 31 |
|
|
|
|
| 25 |
|
| 26 |
<Gallery />
|
| 27 |
|
| 28 |
+
|
| 29 |
+
This is trained on more than 70 images, covering anime, digital art, realistic styles, and various anime characters.
|
| 30 |
+
|
| 31 |
+
I recommend a strength of 0.5 to 0.6. Going higher can cause anatomical problems.
|
| 32 |
|
| 33 |
## Download model
|
| 34 |
|