Instructions to use jarod2212/VelvetReal_XL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jarod2212/VelvetReal_XL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jarod2212/VelvetReal_XL") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -32,7 +32,7 @@ widget:
|
|
| 32 |
- output:
|
| 33 |
url: images/e6535026cc4e3ef648c6c44b50b72302.jpg
|
| 34 |
text: '-'
|
| 35 |
-
base_model: ''
|
| 36 |
instance_prompt: velvetreal
|
| 37 |
license: creativeml-openrail-m
|
| 38 |
---
|
|
|
|
| 32 |
- output:
|
| 33 |
url: images/e6535026cc4e3ef648c6c44b50b72302.jpg
|
| 34 |
text: '-'
|
| 35 |
+
base_model: 'sdxl'
|
| 36 |
instance_prompt: velvetreal
|
| 37 |
license: creativeml-openrail-m
|
| 38 |
---
|