Instructions to use Jonjew/FalloutT60PowerArmor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/FalloutT60PowerArmor with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jonjew/FalloutT60PowerArmor") prompt = "<lora:T60_Armor:0.9> armor, t60, robot, full body, holds a gatling machinegun in a dystopian scenery." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Fallout - T-60 power armor

- Prompt
- <lora:T60_Armor:0.9> armor, t60, robot, full body, holds a gatling machinegun in a dystopian scenery.
Model description
FROM https://civitai.com/models/378562/fallout-t-60-power-armor-flux1d-and-sdxl?modelVersionId=1060562
Trigger armor, t60, robot
Trigger words
You should use armor to trigger the image generation.
You should use t60 to trigger the image generation.
You should use robot to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Jonjew/FalloutT60PowerArmor
Base model
black-forest-labs/FLUX.1-dev