Instructions to use ysquar3/anthym-lora2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ysquar3/anthym-lora2 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("ysquar3/anthym-lora2") prompt = "anthym" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add anthym-lora2.safetensors
Browse files- anthym-lora2.safetensors +3 -0
anthym-lora2.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:07ac613ff2589817d5c5f53d8306063848120f8c8e01cbcff79f6d2e3b07f58a
|
| 3 |
+
size 130958064
|