README.md

---
base_model: black-forest-labs/FLUX.1-schnell
license: apache-2.0
tags:
- autotrain
- spacerunner
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
widget:
- text: A city skyline at sunset. The sky is an intense golden-yellow, giving the image a warm glow. The water in front of the skyline with a small boat crossing the scene, in the style of TIMESTRETCH
  output:
    url: samples/623e54c6-4c5e-491a-85f8-7c0cfc92b4a8.jpg
- text: Boy playing basketball on a court, with the tall skyscraper in the background in the style of TIMESTRETCH
  output:
    url: samples/01fcd6fb-fd17-4693-9846-feea1650f439.jpg
- text: A man in a suit is walking across a scene with a large, boxy modern building in the background in the style of TIMESTRETCH
  output:
    url: samples/fd3222a5-8a0e-4ddb-a585-a1cde2bd5dc6.jpg
instance_prompt: in the style of TIMESTRETCH
---

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

## Trigger words

You should use `in the style of TIMESTRETCH` 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](/lazarzivanovicc/timestretchlora/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-schnell', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('lazarzivanovicc/timestretchlora', weight_name='timestretchlora')
image = pipeline('People in a bustling cafe in the style of TIMESTRETCH').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)