Instructions to use prithivMLmods/Yellow-Pop-Flux-Dev-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Yellow-Pop-Flux-Dev-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/Yellow-Pop-Flux-Dev-LoRA") prompt = "Yellow Pop, A medium-sized bulldog stands in front of a vibrant pink background. The bulldogs face is prominently displayed, with its mouth slightly open. Its eyes are wide open, and its ears are perked up. Its mouth is slightly open, revealing a black nose. Its muzzle is adorned with small black dots, adding a pop of color to the scene. The dogs coat is a light brown, with a purple collared shirt underneath it. The coat has a black collar with a few buttons on it." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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