Instructions to use Keltezaa/Ultra_High_Detailed_Realistic_Photography with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/Ultra_High_Detailed_Realistic_Photography 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("Keltezaa/Ultra_High_Detailed_Realistic_Photography") prompt = "Ultra High Detailed Realistic Photography" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ultra High Detailed Realistic Photography
Model description
Flux - Ultra High Detailed Realistic Photography
Trigger words
You should use Ultra High Detailed Realistic Photography to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Keltezaa/Ultra_High_Detailed_Realistic_Photography
Base model
black-forest-labs/FLUX.1-dev