metadata

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

Prompt
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

Prompt
Boy playing basketball on a court, with the tall skyscraper in the background in the style of TIMESTRETCH

Prompt
A man in a suit is walking across a scene with a large, boxy modern building in the background in the style of TIMESTRETCH

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 them in the Files & versions tab.

Use it with the 🧨 diffusers library

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