guidelabs/steerling
Interpretable Causal Diffusion Language Models
Steerling helps AI developers and researchers generate text while also understanding why a language model makes certain predictions. It takes a text prompt as input and produces generated text, along with detailed explanations of which 'concepts' (identifiable patterns) influenced each part of the output. This allows technical users to peek inside the model's decision-making process.
195 stars. Available on PyPI.
Use this if you are a machine learning engineer or researcher who needs to generate text using a large language model and critically analyze or control the underlying factors driving its output.
Not ideal if you are looking for a simple, off-the-shelf text generation tool without needing to delve into model interpretability or have limited GPU resources.
Stars
195
Forks
9
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 23, 2026
Commits (30d)
0
Dependencies
7
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/guidelabs/steerling"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
bghira/SimpleTuner
A general fine-tuning kit geared toward image/video/audio diffusion models.
mcmonkeyprojects/SwarmUI
SwarmUI (formerly StableSwarmUI), A Modular Stable Diffusion Web-User-Interface, with an...
nateraw/stable-diffusion-videos
Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
TheDesignFounder/DreamLayer
Benchmark diffusion models faster. Automate evals, seeds, and metrics for reproducible results.