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
Flux_1_Dev_LoRA_Paper-Cutout-Style / 08a19840b6214b76b0607b2f9d5a7e28_63159b9d98124c008efb1d36446a615c.png

- Xet hash:
- 71bb9b71443c8c99b98227efec7fd292dfb331239075348ab92442c76d7fd310
- Size of remote file:
- 1.78 MB
- SHA256:
- ab0584b581bab109e94394612c3ecbf0c2f9347cb23a7a22b9006590a17ad5ae
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