Instructions to use Weexe/cheggle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Weexe/cheggle 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("Weexe/cheggle") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -7,7 +7,7 @@ tags:
|
|
| 7 |
widget:
|
| 8 |
- text: '-'
|
| 9 |
output:
|
| 10 |
-
url: images/
|
| 11 |
base_model: black-forest-labs/FLUX.1-dev
|
| 12 |
instance_prompt: null
|
| 13 |
license: other
|
|
|
|
| 7 |
widget:
|
| 8 |
- text: '-'
|
| 9 |
output:
|
| 10 |
+
url: images/books_startup_test_images_2_3.png
|
| 11 |
base_model: black-forest-labs/FLUX.1-dev
|
| 12 |
instance_prompt: null
|
| 13 |
license: other
|