implement-diffusion-network SKILL.md skillA
implement-diffusion-network from pjt222/agent-almanac is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add pjt222/agent-almanac/implement-diffusion-network@v1.0Pins v1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- pjt222/agent-almanac
- Path
i18n/caveman-lite/skills/implement-diffusion-network/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0, committed Aug 17, 2026
- First version recorded
- Apr 19, 2026
- Size
- 18,412 bytes
- Repository stars
- 43
- License
- MIT
Implement a generative diffusion model (DDPM or score-based) with noise scheduling, U-Net architecture, training loop, and sampling procedures including DDIM acceleration. Use when building a generative model for image, audio, or molecular synthesis; implementing DDPM from a research paper; adding a custom noise schedule or conditioning mechanism; replacing a GAN-based generator with a diffusion alternative; or prototyping before scaling with production frameworks like diffusers.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Implement a Diffusion Network Build a denoising diffusion probabilistic model (DDPM) or score-based generative model from scratch, including the forward noising process, U-Net denoiser, training objective, reverse sampling procedure, and accelerated inference via DDIM or DPM-Solver. ## When to Use - Building a generative model for image, audio, or molecular synthesis - Implementing DDPM or score-based diffusion from a research paper - Adding a custom noise schedule or conditioning mechanism to a diffusion pipeline - Replacing a GAN-based generator with a diffusion-based alternative - Prototyping a diffusion model before scaling to production with frameworks like diffusers ## Inputs - **Required**: Training dataset (images, spectrograms, point clouds, or other continuous data) - **Required**: Target resolution and number of channels - **Required**: Compute budget (GPU type and count, training time limit) - **Optional**: Noise schedule type (default: cosine) - **Optional**: Number of diffusion timesteps T (default: 1000) - **Optional**: Conditioning signal (class labels, text embeddings, or other guidance) …
Read the whole file at its exact version.
How to install
mdr add pjt222/agent-almanac/implement-diffusion-network@sha256:f00323a34516235fThe line at the top of this page pins the label v1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_w5hwk5msftbtjdyu)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Apr 19, 2026 and Aug 17, 2026, about one every 60 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0 latest | 2026-08-17 | a784899 | 18,412 B | A | view · diff |
| v1.0 | 2026-04-24 | b4968e1 | 18,383 B | A | view · diff |
| v1.0 | 2026-04-19 | e334ebd | 18,457 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (18412 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
pjt222/agent-almanac · 43 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_w5hwk5msftbtjdyu GET https://markdownregistry.com/api/v1/resolve?ref=pjt222/agent-almanac/implement-diffusion-network GET https://markdownregistry.com/api/v1/blob/f00323a34516235f9cf37db6f26a3c0dc9cf0cbdaa3186a9e12d9ba2adec12ca
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.