Instructions to use IvanAlbino/IvanLoras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IvanAlbino/IvanLoras with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("IvanAlbino/IvanLoras") prompt = "IvanV01" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add IvanLoras.safetensors
Browse files- IvanLoras.safetensors +3 -0
IvanLoras.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ff07c67b9271123d074b9c66a3d761b86819a5a5b832b39ed5d4dcbabc6a25d5
|
| 3 |
+
size 130958064
|