Instructions to use zz001/002 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zz001/002 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cagliostrolab/animagine-xl-3.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("zz001/002") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 2 files
Browse files- images/XbpD1BVwv8.png +3 -0
- 赵帅-图书管理系统111.zip +3 -0
images/XbpD1BVwv8.png
ADDED
|
Git LFS Details
|
赵帅-图书管理系统111.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6013de3d4f32ba04bddb3d816c3d69eda35d0a97d978c423d797295c11f44e75
|
| 3 |
+
size 431112
|