Instructions to use prithivMLmods/Flux.1-Dev-Stamp-Art-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Flux.1-Dev-Stamp-Art-LoRA 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("prithivMLmods/Flux.1-Dev-Stamp-Art-LoRA") prompt = "stam9, Captured on a light green background is a postage stamp that reads \"19\" and \"Starwberry\". The stamp features two red strawberries with green stems and green leaves. The strawberries have small white dots on them. Below the strawberries, the word \"starwberry\" is written in black letters. The stamp has a scalloped border around the edges." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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