Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use orrinj/janeycatbaseLoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use orrinj/janeycatbaseLoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("orrinj/janeycatbaseLoRA") prompt = "janeycat girl, looking to side, smile" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -15,7 +15,7 @@ tags:
|
|
| 15 |
datasets:
|
| 16 |
- orrinj/2nd_Janeycat_set
|
| 17 |
widget:
|
| 18 |
-
- text: "janeycat girl, smile"
|
| 19 |
output:
|
| 20 |
url: images/janeycat.jpg
|
| 21 |
---
|
|
|
|
| 15 |
datasets:
|
| 16 |
- orrinj/2nd_Janeycat_set
|
| 17 |
widget:
|
| 18 |
+
- text: "janeycat girl, looking to side, smile"
|
| 19 |
output:
|
| 20 |
url: images/janeycat.jpg
|
| 21 |
---
|