---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- character
- robot
- short circuit
- johnny5

base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Johnny5 robot
widget:
- text: 'Johnny5 robot eating spaghetti'
  
  output:
    url: >-
      35990623.jpeg
- text: 'A Johnny5 robot is racing on a formula-1 racing track. Sport shot '
  
  output:
    url: >-
      35990619.jpeg
- text: 'A Johnny5 robot is a DJ at a night club, fish eye lens, smoke machine, lazer lights, holding a martini'
  
  output:
    url: >-
      35990620.jpeg
- text: 'Johnny5 robot with a red wig, playing chess at the park, bomb going off in the background'
  
  output:
    url: >-
      35990622.jpeg
- text: 'A Johnny5 robot is jumping above a cat'
  
  output:
    url: >-
      35990621.jpeg

---

# Johnny-5 Robot [Flux LoRA] 

<Gallery />



([CivitAI](https://civitai.com/models/878875))

## Model description

<p>Johnny-5 is the robotic main character of the <a rel="ugc" href="https://en.wikipedia.org/wiki/Short_Circuit_(1986_film)">Short Circuit films</a>.</p><p>Use <em>Johnny5 robot</em> in your prompts to trigger the generation</p><p>Trained using <a target="_blank" rel="ugc" href="https://www.astria.ai">Astria.ai'</a>s service</p><p><em>"Number 5 is alive!"</em></p>

## Trigger words
You should use `Johnny5 robot` to trigger the image generation.
    

## Download model

Weights for this model are available in Safetensors format.

[Download](/Norod78/johnny-5-robot-flux-lora/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

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Norod78/johnny-5-robot-flux-lora', weight_name='Johnny5_Robot-Flux-LoRA-1747271.safetensors')
image = pipeline('A Johnny5 robot is jumping above a cat').images[0]
```

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)