README.md

metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: >-
      [trigger] ADscenario describing a left turn intersection. The ego vehicle
      wants to turn left
    output:
      url: samples/1749822270115__000002000_0.jpg
  - text: >-
      [trigger] ADscenario describing a driving maneuver on highway. The ego
      vehicle drives behind a front vehicle on the right lane on the highway
    output:
      url: samples/1749822279237__000002000_1.jpg
  - text: >-
      [trigger] ADscenario describing a an evasion maneuver. The ego vehicle
      change the lane in urban environment
    output:
      url: samples/1749822288385__000002000_2.jpg
  - text: >-
      [trigger] ADscenario describing a driving situation in a construction
      site. The ego vehicle drives between cones
    output:
      url: samples/1749822297518__000002000_3.jpg
  - text: >-
      [trigger] ADscenario describing a traffic light driving situation. The ego
      vehicle stops for a red light
    output:
      url: samples/1749822306643__000002000_4.jpg
base_model: black-forest-labs/FLUX.1-schnell
instance_prompt: ADscenario
license: apache-2.0

loraSayed

Model trained with AI Toolkit by Ostris

Prompt

[trigger] ADscenario describing a left turn intersection. The ego vehicle wants to turn left

Prompt

[trigger] ADscenario describing a driving maneuver on highway. The ego vehicle drives behind a front vehicle on the right lane on the highway

Prompt

[trigger] ADscenario describing a an evasion maneuver. The ego vehicle change the lane in urban environment

Prompt

[trigger] ADscenario describing a driving situation in a construction site. The ego vehicle drives between cones

Prompt

[trigger] ADscenario describing a traffic light driving situation. The ego vehicle stops for a red light

Trigger words

You should use ADscenario 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('TFree2035/FluxScenario2', weight_name='loraSayed.safetensors')
image = pipeline('[trigger] ADscenario describing a left turn intersection. The ego vehicle wants to turn left').images[0]
image.save("my_image.png")

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers