README.md

---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
    url: images/1.jpeg
  text: >-
    convert the subject to a robot with with white translucent panels and
    exposed red and black wiring and golden accented metal bits
- output:
    url: images/2.jpeg
  text: >-
    convert the subject to a robot with with white translucent panels and
    exposed red and black wiring and golden accented metal bits
- output:
    url: images/3.jpeg
  text: >-
    convert the subject to a robot with with white translucent panels and
    exposed red and black wiring and golden accented metal bits
- output:
    url: images/4.jpeg
  text: >-
    convert the subject to a robot with with white translucent panels and
    exposed red and black wiring and golden accented metal bits
base_model: black-forest-labs/FLUX.1-Kontext-dev
instance_prompt: >-
  convert the subject to a robot with with white translucent panels and exposed
  red and black wiring and golden accented metal bits
license: other
license_name: flux1-dev-non-commercial-license
license_link: >-
  https://huggingface.co/black-forest-labs/FLUX.1-Kontext-dev/blob/main/LICENSE.md
---
# Mech Anything - Kontext Lora

<Gallery />

## Model description 

# Flux Kontext - Mech Anything Fine-Tune

This fine-tuned model converts any input image into a high-fidelity futuristic mech design, finished in a combination of  sleek translucent armour with exposed red-black wiring and precision gold accents, creating a high-tech, industrial-meets-luxury aesthetic.

### Training Parameters

Training dataset consists of 8 image pairs generated using Flux. 
1000 Steps, 1e-4 LR

### Made with fal.ai kontext-trainer

Available here : https:&#x2F;&#x2F;fal.ai&#x2F;models&#x2F;fal-ai&#x2F;flux-kontext-trainer


## Trigger words

You should use `convert the subject to a robot with with white translucent panels and exposed red and black wiring and golden accented metal bits` to trigger the image generation.


## Download model


[Download](/day-dream/MechAnything-Kontext-Dev-Lora/tree/main) them in the Files & versions tab.