README.md

---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
base_model: black-forest-labs/FLUX.1-dev
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
inference:
  parameters:
    width: 1024
    height: 1024
instance_prompt: Tilt Shift Photograph
---

# Flux_Tilt_Shift_Photography-lora

Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)



## Trigger words

You should use `Tilt Shift Photograph` to trigger the image generation.

## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

[Download](Quorlen/Flux_Tilt_Shift_Photography-lora/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('Quorlen/Flux_Tilt_Shift_Photography-lora', weight_name='Flux_Tilt_Shift_Photography_000001000.safetensors')
image = pipeline('Tilt Shift Photograph').images[0]
image.save("my_image.png")
```

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)