Implement Diffusion Network
Skill Verifiziert AktivImplement 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.
To enable users to build, understand, and prototype generative diffusion models by providing a from-scratch implementation and detailed guidance.
Funktionen
- Implements DDPM and score-based diffusion models
- Includes noise scheduling (cosine, linear) and U-Net architecture
- Provides training loop and sampling procedures (DDPM, DDIM)
- Offers detailed Python code examples for each component
- Discusses evaluation metrics like FID and LPIPS
Anwendungsfälle
- Building generative models for image, audio, or molecular synthesis
- Implementing diffusion models from research papers
- Adding custom noise schedules or conditioning mechanisms
- Replacing GANs with diffusion alternatives
- Prototyping diffusion models before scaling
Nicht-Ziele
- Providing pre-trained models or direct integration with production frameworks like diffusers
- Handling end-to-end deployment pipelines
Practical Utility
- info:Production readinessThe skill provides a detailed implementation covering the core aspects of diffusion models but lacks explicit guidance on deployment or integration into larger production frameworks beyond prototyping.
Execution
- info:ValidationThe skill includes type hints and basic shape checks, but lacks formal schema validation libraries like Pydantic for all inputs and outputs.
Install
- info:Installation instructionThe README provides multiple installation methods (plugin, CLI) and verification steps, but the specific skill does not have a direct copy-paste invocation example within its own SKILL.md.
Installation
/plugin install agent-almanac@pjt222-agent-almanacQualitätspunktzahl
VerifiziertVertrauenssignale
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