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 / d13591878d5043f3989dd6eb1c25b710_233c18effb4b491cb467ca31c97e90b5.png

- Xet hash:
- 97a4c7ab5ea617094c474e77ff644ad31364ff12778f3f755ccd86c2f4f8bc5e
- Size of remote file:
- 1.06 MB
- SHA256:
- fcc7296c727b9427d627905f8880c4a50d1da0a1ca0178807d0a34c2d8928e1e
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