Instructions to use dantheoprod/iphone-lora-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dantheoprod/iphone-lora-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("dantheoprod/iphone-lora-v2") prompt = "girl taken with iphone15" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
iphone15 flux lora
-Enhanced-SR.jpg)
- Prompt
- girl taken with iphone15
Trigger words
You should use iphone15 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 dantheoprod/iphone-lora-v2
Base model
black-forest-labs/FLUX.1-dev