Instructions to use Kev09/Kev1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kev09/Kev1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lykon/AnyLoRA", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Kev09/Kev1") prompt = "Cfee" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 2 files
Browse files- Saya-wiping mouth.safetensors +3 -0
- images/imagerobot.png +3 -0
Saya-wiping mouth.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1fb9e04b564aff149cdf2ec240bd35579f7ea78f26dd6b25c14a29b044a4bca9
|
| 3 |
+
size 47568605
|
images/imagerobot.png
ADDED
|
Git LFS Details
|