| ---
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| license: cc0-1.0
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| pretty_name: Model Bending Knowledge Base
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| tags:
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| - model-bending
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| - diffusion
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| - stable-diffusion
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| - explainability
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| - xai-for-the-arts
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| - comfyui
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| configs:
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| - config_name: default
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| data_files: index/viewer*.parquet
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| ---
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|
|
| # Model Bending Knowledge Base
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|
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| This dataset records what happens when you bend the inside of a diffusion model. Bending means multiplying, rotating,
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| adding noise to or otherwise changing the activations of a layer while the model generates.
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|
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| Each record names:
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| - the model and the exact part of it that was bent
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| - the operation, the amount, and the denoising steps it covered
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| - the full generation setup
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| - the output, next to an unbent baseline made with the same setup
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|
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| Artists can browse it to learn what a model does when bent. Agents, such as the
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| [comfyui-model-bending](https://github.com/abuzreq/comfyui-model-bending-agent) skill, query it to suggest starting
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| recipes ("more abstract on SD1.5" → which bends tend to do that).
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|
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| Bends are applied with [ComfyUI-Model-Bending](https://github.com/abuzreq/ComfyUI-Model-Bending).
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| **8660 records**, 932 cells and 10 findings (index built 2026-10-01T23:11:56Z). Sources: author_experiment 2940, paper 5720. Model families: sd1 8660.
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|
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| ## Facts are kept apart from interpretation
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|
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| Every record folder `records/<family>/<source>/<id>/` holds:
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| | file | what | who made it |
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| |---|---|---|
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| | `record.json` | **facts**: model, checkpoint, sampler, scheduler, steps, cfg, seed, size, route; the bends as actually applied (layer path, op, arguments, step window); the output file | the producer named in `provenance` |
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| | `measurements.json` | **numbers** computed against the unbent baseline: MAE, latent cosine distance, LPIPS, DINOv2 and CLIP distances, a degeneracy guard | each value names its method, and its model when a learned model computed it |
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| | `interpretations.jsonl` | **interpretation**: captions, "what changed", keywords, effect tags, concept tags, notes, verdicts | each line names its author: a human (`{"type": "human", "name": …}`) or an AI (`{"type": "ai", "model": <exact model id>, "prompt_version": …}`) |
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| | `output.webp` | the output image | |
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|
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| Other folders:
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| - **`baselines/`** holds the unbent renders.
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| - **`findings/`** holds claims about many records, such as a paper's results, with their authors and citation:
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| - `level: cell` findings back the cells they cover.
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| - `level: general` findings give study-wide context.
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| - **`vocab/effects.json`** is the controlled list of effect tags.
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| - **`schema/`** holds the JSON Schemas.
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| Prompts and input images are published only when their owner agreed (`consent`). Otherwise a salted key stands in, so
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| records can still be counted per prompt.
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| AI-written interpretations are always labelled with the model that wrote them. Treat them as one reading of the image,
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| not ground truth. Humans can add their own readings next to them.
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|
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| ## Cells and evidence
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| `index/cells.jsonl` groups single-bend records into **cells**: (model family, layer group, sub-module kind, module type,
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| op, amount bucket, step window, route). Each cell carries:
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| - record, seed and prompt counts
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| - the checkpoints it was tested on
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| - measurement summaries
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| - effect tags, with who assigned them
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| - an evidence grade:
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| - anecdotal: one seed and one prompt
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| - multi-seed or multi-prompt
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| - replicated: at least two of each
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| - study-backed: a cited finding covers the cell
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|
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| ## Sources
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|
| | source | what |
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| |---|---|
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| | `paper` | Experiments from *Unboxing Diffusion Models for the Arts: Interactive Model Bending and Practice-Based Explainability*: RealisticVision v5.1 (SD1.5), all-layer multiply and noise sweeps, and the multi-seed, multi-prompt and timestep studies |
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| | `author_experiment` | Further sweeps by the same author, e.g. rotation across 14 prompts on SD1.4 |
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| | `sweep` | Graded sweeps: every cell on several prompts and seeds |
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| | `run` | Bent candidates from agentic novelty-search runs, with their re-rendered baselines |
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| | `session` | Rounds from agent-assisted bending sessions that the artist chose to share |
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| | `artist` | Direct contributions |
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|
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| ## Contributing
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| Open a **Pull Request** on this dataset with the Hugging Face Hub (`huggingface_hub.upload_folder(...,
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| create_pr=True)`) or the web UI. A contribution adds a record folder that follows `schema/record.schema.json`. Every
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| interpretation must name its author, and AI-written ones must name their model. PRs are reviewed before merging.
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|
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| ## Citation
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|
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| ```bibtex
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| @misc{abuzuraiq2026unboxing,
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| title = {Unboxing Diffusion Models for the Arts: Interactive Model Bending and Practice-Based Explainability},
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| author = {Abuzuraiq, Ahmed M. and Pasquier, Philippe},
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| year = {2026},
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| eprint = {2607.22428},
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| archivePrefix = {arXiv}
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| }
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| ```
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| |
