Instructions to use liming518/RodVerFlux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use liming518/RodVerFlux 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("liming518/RodVerFlux") prompt = "Image I created with this lora at 0.1, to get more face variety" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -13,7 +13,7 @@ base_model: black-forest-labs/FLUX.1-dev
|
|
| 13 |
instance_prompt: null
|
| 14 |
|
| 15 |
---
|
| 16 |
-
Civitai lora for Flux1dev
|
| 17 |
|
| 18 |
<Gallery />
|
| 19 |
|
|
|
|
| 13 |
instance_prompt: null
|
| 14 |
|
| 15 |
---
|
| 16 |
+
Civitai lora for Flux1dev (deleted)
|
| 17 |
|
| 18 |
<Gallery />
|
| 19 |
|