Instructions to use AndarNIN/UltraRealPhoto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AndarNIN/UltraRealPhoto 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("AndarNIN/UltraRealPhoto") prompt = "Close-up image of a car audio system console, featuring a digital display reading 2:55 in bright green digits, surrounded by various control buttons for volume, bass, treble, and radio frequency adjustment. The buttons are arranged in a clean, organized manner, characteristic of late 90s or early 2000s car stereo designs. A vivid green, ethereal streak, possibly due to light reflection, arcs across the console creating a ghost-like effect. This unusual visual element adds a surreal touch to the otherwise standard car interior. The overall image quality suggests blurred details and an amateurish quality, possibly taken in motion or with an unsteady hand.," image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Welcome to the community
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