Instructions to use evnfed/oooliecat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use evnfed/oooliecat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("evnfed/oooliecat") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files- images/20230330_175618.jpg +3 -0
- lora.safetensors +3 -0
images/20230330_175618.jpg
ADDED
|
Git LFS Details
|
lora.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:da468f9842cdd23d457c144e1ee6ddc1b7dad2b074e1847faacdf1bafaba57d9
|
| 3 |
+
size 171969424
|