metadata

tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
widget:
  - text: a portrait of a necromancer with a group of skeletons posing behind him
    output:
      url: images/4fed64ec-dea7-45ff-822c-34c3110ef20b.png
  - text: macrophotography
    output:
      url: images/f8f1995e-c583-425b-b73a-f3e873ce1005.png
  - text: woman baking
    output:
      url: images/1d323cf7-d076-45d1-8386-5e2223cf066c.png
  - text: a deep ocean creature glows in the dark
    output:
      url: images/6579b6e7-5ac6-423d-b9d5-231389a81bde.png
  - text: an ancient village made inside of a cavern
    output:
      url: images/eb7e0dd1-c652-401d-b6fe-1e7addb848e0.png
  - text: >-
      a photo within a dungeon with stone walls, wooden doors, and ornate
      torches
    output:
      url: images/cbb0620c-dffe-4fc5-b310-9b4dd241472e.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: L1d4r
license: cc0-1.0

LiDAR Vision

Prompt
a portrait of a necromancer with a group of skeletons posing behind him

Prompt
a deep ocean creature glows in the dark

Prompt
an ancient village made inside of a cavern

Prompt
a photo within a dungeon with stone walls, wooden doors, and ornate torches

Model description

Creator: Ampp / @ampp

Style: Tired of seeing the world in high definition with normal colors and details? Well, say hello to the LiDAR Vision LoRA! Now you can turn any image into a futuristic laser-scan wonderland.

Click here to try it on Glif:

This LoRA is a part of the Glif Loradex Trainer project. The goal of the project is to explore different training techniques together, create and release opensource LoRAs, and fill the world with more art. This project is sponsored by Glif, offering free early access to Flux Dev training on the Glif Discord.

All models in the Loradex Trainer program are released under the BFL Flux Dev license. Attribution for the original LoRA creator is always appreciated!

Trigger words

You should use L1d4r to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.