Instructions to use Norod78/Flux_1_Dev_LoRA_Paper-Cutout-Style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Norod78/Flux_1_Dev_LoRA_Paper-Cutout-Style 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("Norod78/Flux_1_Dev_LoRA_Paper-Cutout-Style") prompt = "The cookie monster, Paper Cutout Style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -45,10 +45,6 @@ The weights were trained with the [fal.ai Flux trainer](https://fal.ai/models/fa
|
|
| 45 |
|
| 46 |
You should use `Paper Cutout Style` to trigger the image generation.
|
| 47 |
|
| 48 |
-
## Download model
|
| 49 |
-
|
| 50 |
-
[Download the *.safetensors LoRA](linoyts/yarn_art_flux_1_700_custom/tree/main) in the Files & versions tab.
|
| 51 |
-
|
| 52 |
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
|
| 53 |
|
| 54 |
```py
|
|
|
|
| 45 |
|
| 46 |
You should use `Paper Cutout Style` to trigger the image generation.
|
| 47 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 48 |
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
|
| 49 |
|
| 50 |
```py
|