Instructions to use augh2000/aughaugh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use augh2000/aughaugh with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lodestones/Chroma", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("augh2000/aughaugh") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files- asmogorna-10.safetensors +3 -0
- images/IMG_6466.jpeg +3 -0
asmogorna-10.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3f02f1d1287bbebb584412854dfea02085805e2f9a130cfb2ac9c9a59f45290f
|
| 3 |
+
size 19001792
|
images/IMG_6466.jpeg
ADDED
|
Git LFS Details
|