{"adoption": {"forks": 45, "observed_at": "2026-08-28T04:03:18.668890+00:00", "stars": 1034}, "canonical_url": "https://ross.abutalabs.com/products/diffusionnft", "card": {"archived": false, "artifact_type": "library", "description": "[ICLR 2026 Oral] DiffusionNFT: Online Diffusion Reinforcement with Forward Process", "domain": ["machine-learning", "deep-learning", "image-processing", "artificial-intelligence"], "enriched": true, "function": ["machine-learning", "llm-training", "image-processing"], "health_score": 60, "homepage": null, "language": "Python", "license": "Apache-2.0", "license_family": "permissive", "maturity": "active", "member_repos": ["NVlabs/DiffusionNFT"], "name": "NVlabs/DiffusionNFT", "platform": ["python"], "pushed_at": "2026-02-10T11:18:15+00:00", "repo": "NVlabs/DiffusionNFT", "stars": 1034, "tags": ["diffusion-models", "reinforcement-learning", "flow-matching", "policy-optimization", "reward-models", "research-code", "iclr-2026", "gpu", "linux"], "topics": [], "urls": [], "use_cases": ["fine-tune diffusion models with reinforcement learning", "train text-to-image models with reward-based optimization", "apply online RL to diffusion policy without sampling trajectories", "optimize image generation with reward models like PickScore or HPSv2", "research forward-process policy optimization for diffusion models", "integrate RL training into existing flow-matching codebases"], "what_it_is": "DiffusionNFT is a research library implementing an online reinforcement learning paradigm for diffusion models that optimizes policy directly on the forward diffusion process. Built on the Flow-GRPO codebase, it supports multiple reward models (GenEval, OCR, PickScore, CLIP, HPSv2, Aesthetic) for training diffusion models like SD3.5M.", "when_to_avoid": ["you need general-purpose diffusion model inference or image generation without RL training", "you are training non-diffusion models such as LLMs or standard supervised classifiers", "you need a production-ready, stable training framework with extensive documentation and support", "you lack GPU resources, as diffusion RL training is compute-intensive"], "when_to_choose": ["you need solver-agnostic RL fine-tuning of diffusion models compatible with any black-box sampler", "you want memory-efficient training that only requires clean images rather than full sampling trajectories", "you want to reward-optimize diffusion models using standard flow-matching objectives", "you are reproducing ICLR 2026 research on diffusion reinforcement learning"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/diffusionnft", "repo": "NVlabs/DiffusionNFT", "role": "main", "score": 47}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:03:18.668890+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T07:06:30.826835+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ff8360d4c8d139260c05a681dd27aa10bb62e8dc0f04985247c129a606cd9f4b", "fetched_at": "2026-08-28T04:03:18.668890+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NVlabs/DiffusionNFT"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:03:18.668890+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T07:06:30.826835+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ff8360d4c8d139260c05a681dd27aa10bb62e8dc0f04985247c129a606cd9f4b", "fetched_at": "2026-08-28T04:03:18.668890+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NVlabs/DiffusionNFT"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T07:06:30.826835+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ff8360d4c8d139260c05a681dd27aa10bb62e8dc0f04985247c129a606cd9f4b", "fetched_at": "2026-08-28T04:03:18.668890+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NVlabs/DiffusionNFT"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:03:18.668890+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:03:18.668890+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:03:18.668890+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T07:06:30.826835+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ff8360d4c8d139260c05a681dd27aa10bb62e8dc0f04985247c129a606cd9f4b", "fetched_at": "2026-08-28T04:03:18.668890+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NVlabs/DiffusionNFT"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:03:18.668890+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:03:18.668890+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T07:06:30.826835+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ff8360d4c8d139260c05a681dd27aa10bb62e8dc0f04985247c129a606cd9f4b", "fetched_at": "2026-08-28T04:03:18.668890+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NVlabs/DiffusionNFT"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:03:18.668890+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:03:18.668890+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:03:18.668890+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T07:06:30.826835+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ff8360d4c8d139260c05a681dd27aa10bb62e8dc0f04985247c129a606cd9f4b", "fetched_at": "2026-08-28T04:03:18.668890+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NVlabs/DiffusionNFT"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:03:18.668890+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:03:18.668890+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T07:06:30.826835+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ff8360d4c8d139260c05a681dd27aa10bb62e8dc0f04985247c129a606cd9f4b", "fetched_at": "2026-08-28T04:03:18.668890+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NVlabs/DiffusionNFT"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T07:06:30.826835+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ff8360d4c8d139260c05a681dd27aa10bb62e8dc0f04985247c129a606cd9f4b", "fetched_at": "2026-08-28T04:03:18.668890+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NVlabs/DiffusionNFT"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T07:06:30.826835+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ff8360d4c8d139260c05a681dd27aa10bb62e8dc0f04985247c129a606cd9f4b", "fetched_at": "2026-08-28T04:03:18.668890+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NVlabs/DiffusionNFT"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T07:06:30.826835+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "ff8360d4c8d139260c05a681dd27aa10bb62e8dc0f04985247c129a606cd9f4b", "fetched_at": "2026-08-28T04:03:18.668890+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NVlabs/DiffusionNFT"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 66, "longevity": 24, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 348, "days_push": 204, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 47, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}