Instructions to use Keltezaa/ElleFanning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/ElleFanning 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("Keltezaa/ElleFanning") prompt = "Elle Fanning" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -4,10 +4,6 @@ tags:
|
|
| 4 |
- lora
|
| 5 |
- diffusers
|
| 6 |
- template:diffusion-lora
|
| 7 |
-
widget:
|
| 8 |
-
- output:
|
| 9 |
-
url: images/Elle Fanning.png
|
| 10 |
-
text: '-'
|
| 11 |
base_model: black-forest-labs/FLUX.1-dev
|
| 12 |
instance_prompt: Elle Fanning
|
| 13 |
license: cc-by-nc-nd-4.0
|
|
|
|
| 4 |
- lora
|
| 5 |
- diffusers
|
| 6 |
- template:diffusion-lora
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7 |
base_model: black-forest-labs/FLUX.1-dev
|
| 8 |
instance_prompt: Elle Fanning
|
| 9 |
license: cc-by-nc-nd-4.0
|