metadata

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]

Prompt
A Johnny5 robot is racing on a formula-1 racing track. Sport shot

Prompt
A Johnny5 robot is a DJ at a night club, fish eye lens, smoke machine, lazer lights, holding a martini

Prompt
Johnny5 robot with a red wig, playing chess at the park, bomb going off in the background

Prompt
A Johnny5 robot is jumping above a cat

(CivitAI)

Model description

Johnny-5 is the robotic main character of the Short Circuit films.

Use Johnny5 robot in your prompts to trigger the generation

Trained using Astria.ai's service

"Number 5 is alive!"

Trigger words

You should use Johnny5 robot to trigger the image generation.

Download model

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

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