Instructions to use gayfortay13/Dylan2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gayfortay13/Dylan2 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("gayfortay13/Dylan2") prompt = "Dylan O'Brien, with a blonde buzz cut, sits in a vintage 1950s diner, his eyes reflecting a mix of curiosity and determination. The diner's red vinyl booths and chrome countertops gleam under warm, soft yellow overhead lights, casting a nostalgic glow. Dylan's casual, slightly worn denim jacket and white T-shirt contrast with the polished setting. He leans forward, his hand resting on the Formica table, as if about to share a secret. The scene, inspired by Quentin Tarantino's style, is framed with subtle film grain and a warm, golden color grade, enhancing the retro atmosphere." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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