Instructions to use FalseNoetics/GLaDOS3.4_3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FalseNoetics/GLaDOS3.4_3B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("meta-llama/Llama-3.2-3B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("FalseNoetics/GLaDOS3.4_3B") prompt = "Wheatley is taking over the facility" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 547 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/Screenshot 2025-09-11 at 12.17.30 PM.png
text: Wheatley is taking over the facility
base_model: meta-llama/Llama-3.2-3B
instance_prompt: null
license: cc-by-2.0
---
# GLaDOS3.4:3B
<Gallery />
## Model description
This model is based on GLaDOS from Portal. It has been fine-tuned based on all of GLaDOS' lines from the games.
## Download model
[Download](/FalseNoetics/GLaDOS3.4_3B/tree/main) them in the Files & versions tab.
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