Instructions to use jayr23/jerome-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jayr23/jerome-v2 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("jayr23/jerome-v2") prompt = "Medium portrait of jer0me man sitting in a cozy living room, holding a cup of coffee with a relaxed expression. Soft morning light streams in from a large window, creating gentle highlights. Shot on an 85mm lens, f/1.8, shallow depth of field, warm and inviting color grading, photorealistic." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K