{
  "data": {
    "a": {
      "slug": "artcraft",
      "name": "ArtCraft",
      "vendor": "Storyteller",
      "vendorUrl": "https://getartcraft.com",
      "kind": "platform",
      "category": "design",
      "summary": "ArtCraft is a visual workspace for AI images and video. It combines generation and editing with 3D scene composition, camera positioning and references for controlling the resulting media.",
      "url": "https://www.anchorterminal.com/tools/artcraft",
      "markdownUrl": "https://www.anchorterminal.com/tools/artcraft.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/artcraft.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/artcraft.json",
      "repo": "https://github.com/storytold/artcraft",
      "license": "MIT OR Apache-2.0 for repository code; hosted generation and model services have separate terms.",
      "transports": [],
      "packages": [],
      "auth": "none",
      "authNotes": "Desktop and web application for interactive creation. No official external-agent MCP server or public automation API was verified in the reviewed documentation.",
      "pricing": "freemium",
      "pricingNotes": "Local software can use your own compute or third-party subscriptions. Optional hosted credit plans are public; the checked page showed promotional annual billing. Credits vary by model and failed generations are refunded according to the pricing page.",
      "priceSummary": "Freemium",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No machine payment protocol established in the reviewed project documentation.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 32986,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-19"
      },
      "docsUrl": "https://github.com/storytold/artcraft#readme",
      "capabilities": [
        "image.generate",
        "video.generate",
        "image.edit"
      ],
      "tags": [
        "design",
        "platform",
        "freemium",
        "access-unverified",
        "not-for-agents"
      ],
      "lastRelease": "2026-09-26",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 22.8,
        "grade": "F",
        "agentReady": false,
        "rank": 1118,
        "ranked": true,
        "rankOf": 1171,
        "categoryRank": 11,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 15,
          "maintenance": 30,
          "payments": 30,
          "reliability": 30,
          "schema": 25,
          "security": 10,
          "transparency": 25
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "low",
          "date": "2026-10-19"
        },
        "negative": 0,
        "verdict": "Public source under permissive licences. No external-agent API verified.",
        "bestFor": "ArtCraft is a visual workspace for AI images and video.",
        "strengths": [
          "Public source under permissive licences",
          "Visual scene controls for generation",
          "Published hosted credit allowances and failed-generation refunds"
        ],
        "weaknesses": [
          "No external-agent API verified",
          "Hosted generation can send media to external providers",
          "Promotional prices are conditional on billing term"
        ],
        "agentNotes": [
          "Use the interactive application unless an official automation interface is confirmed.",
          "Check the model service terms before sending private reference media."
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 2,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "low",
            "grade": "F",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 22.8
          }
        ],
        "editorialScores": {
          "ergonomics": 15,
          "maintenance": 30,
          "payments": 30,
          "reliability": 30,
          "schema": 25,
          "security": 10,
          "transparency": 35
        },
        "provenanceScore": 15
      },
      "letme": {
        "capability": "https://letme.dev/image.generate",
        "tool": "https://letme.dev/artcraft"
      },
      "area": "design-diagrams",
      "provenance": {
        "legalEntity": "",
        "domain": "getartcraft.com",
        "domainRegistered": "",
        "endpointOnVendorDomain": false,
        "terms": "https://raw.githubusercontent.com/storytold/artcraft/main/LICENSE-APACHE",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/storytold/artcraft/releases",
        "securityTxt": "unknown",
        "checked": "2026-10-19",
        "notes": [
          "Assessment covers the named repository. No ownership claim or domain registration was verified."
        ],
        "score": 15
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/artcraft.json"
    },
    "answer": "Iris-3B scores 50.9 (D) on agent readiness against ArtCraft's 22.8 (F), and leads in every scored category.",
    "b": {
      "slug": "iris-3b",
      "name": "Iris-3B",
      "vendor": "Speridlabs",
      "vendorUrl": "https://speridlabs.com",
      "kind": "model",
      "category": "image-generation",
      "summary": "Iris-3B is an Apache-2.0 open-weight text-to-image model from Speridlabs that generates pixels directly, with no VAE. The release adds a 4-step Turbo version and fine-tunes for monocular depth and 4x image restoration.",
      "url": "https://www.anchorterminal.com/tools/iris-3b",
      "markdownUrl": "https://www.anchorterminal.com/tools/iris-3b.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/iris-3b.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/iris-3b.json",
      "repo": "https://github.com/speridlabs/iris-3b",
      "license": "Apache-2.0 (code and weights)",
      "transports": [],
      "packages": [],
      "auth": "none",
      "authNotes": "No account or key. Weights download from a public, ungated Hugging Face repository, and the frozen Qwen3-VL-4B-Instruct text encoder downloads from its publisher on the first run. The software opens no network service.",
      "pricing": "free",
      "pricingNotes": "Free under Apache-2.0 with nothing to buy. Speridlabs has no hosted API or paid plan. The owner pays for an NVIDIA GPU. The demo Spaces run on Hugging Face ZeroGPU.",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the repository, the model card or the project page (checked 2026-10-15). There is no paid tier or hosted endpoint.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 175,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-15"
      },
      "docsUrl": "https://huggingface.co/speridlabs/iris-3b",
      "capabilities": [
        "image.generate",
        "image.upscale"
      ],
      "tags": [
        "model",
        "open-source",
        "open-weights",
        "self-hosted",
        "local",
        "free",
        "no-card",
        "apache-2.0",
        "python",
        "gpu",
        "new"
      ],
      "lastRelease": "2026-10-12",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 50.9,
        "grade": "D",
        "agentReady": false,
        "rank": 877,
        "ranked": true,
        "rankOf": 1171,
        "categoryRank": 8,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 54,
          "maintenance": 70,
          "payments": 60,
          "reliability": 45,
          "schema": 47,
          "security": 44,
          "transparency": 47
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-15"
        },
        "negative": 0,
        "verdict": "Code and weights are Apache-2.0, and one Python package runs text-to-image, a 4-step Turbo, depth and 4x restoration from a documented CLI. It is ten days old, with no PyPI package, version tags, changelog or CI, needs an NVIDIA GPU and about 12 GB of weights, and has no server or API of its own.",
        "bestFor": "An agent on a machine with a CUDA GPU that needs Apache-2.0 image generation, relative depth or 4x restoration without a vendor account.",
        "strengths": [
          "Code, training recipe and all four checkpoints are under Apache-2.0, with a NOTICE file and a table of third-party licences",
          "One CLI, `scripts/sample.py`, with typed flags and documented defaults (1024x1024, 100 steps, CFG 3), plus Python classes for depth and restoration",
          "Turbo samples a 1024x1024 image in 4 steps, which the vendor times at about 0.7 s on one H100 at batch 4",
          "Released weights are safetensors, and a published benchmark table covers GenEval, DPG-Bench, LongText-Bench and OneIG-Bench",
          "Three dated weight releases in eight days (5, 8 and 12 October 2026), and two outside pull requests merged within two days"
        ],
        "weaknesses": [
          "No package on PyPI, no version tags, no changelog and no CI workflow. Install is a git clone and `pip install -e .`",
          "Needs an NVIDIA GPU with CUDA. All three models together take about 45 GB of GPU memory, or about 20 GB peak with offloading",
          "No HTTP server, OpenAPI or MCP interface. The only hosted route is the Gradio demo Spaces on Hugging Face ZeroGPU",
          "No safety filter in the code, no SECURITY.md or security.txt, and no privacy or terms pages on speridlabs.com",
          "Training defaults to reporting runs to Weights \u0026 Biases (`report_to: wandb`), which the README doesn't mention"
        ],
        "agentNotes": [
          "Check for an NVIDIA GPU with CUDA and Python 3.11 or newer before downloading. The base weights are about 12 GB, and Qwen3-VL-4B downloads on the first run",
          "Exclude `depth/*`, `upscaler/*` and `turbo/*` in `hf download` unless those models are needed. Each of the first two adds about 12 GB",
          "Don't pass `--steps`, `--cfg-scale`, `--negative-prompt`, `--order` or `--shift` with a Turbo checkpoint. The script exits with an error",
          "Pass `--seed` to reproduce an image, and set `--outdir`, since files are named after the prompt and a repeat run overwrites them",
          "Load only exported directories (`model.safetensors` and `config.yaml`). A training `.pth` is read with `torch.load(weights_only=False)`, so never load one from an untrusted source"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "D",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 50.9
          }
        ],
        "editorialScores": {
          "ergonomics": 54,
          "maintenance": 70,
          "payments": 60,
          "reliability": 45,
          "schema": 47,
          "security": 44,
          "transparency": 50
        },
        "provenanceScore": 44
      },
      "connect": {
        "install": "git clone https://github.com/speridlabs/iris-3b.git \u0026\u0026 cd iris-3b \u0026\u0026 pip install -e .\nhf download speridlabs/iris-3b --local-dir iris-3b --exclude \"depth/*\" \"upscaler/*\" \"turbo/*\"\npython scripts/sample.py --checkpoint iris-3b --prompt \"a red fox sleeping in fresh snow, golden hour\""
      },
      "letme": {
        "capability": "https://letme.dev/image.generate",
        "tool": "https://letme.dev/iris-3b"
      },
      "area": "content",
      "provenance": {
        "legalEntity": "Speridlabs",
        "domain": "speridlabs.com",
        "domainRegistered": "2025-02-25",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-15",
        "notes": [
          "The NOTICE file reads Copyright 2026 Speridlabs. The site's schema.org data names the organisation Sperid Labs, founded 2024, with contact@speridlabs.com. No registered company name or address was found on speridlabs.com.",
          "RDAP at Verisign gives a registration date of 2025-02-25 for speridlabs.com.",
          "speridlabs.com has no terms or privacy page. /privacy, /terms, /legal and /privacy-policy returned 404 on 15 October 2026, and the sitemap lists none. The Apache-2.0 licence stands in for terms for the code and weights.",
          "speridlabs.com/.well-known/security.txt returned 404 on 15 October 2026. The repository has no SECURITY.md.",
          "No changelog, release notes or tags. Dated commits on GitHub and on the Hugging Face model repository are the only record of changes.",
          "Software the owner runs, so there is no vendor endpoint or status page. The demo Spaces run on Hugging Face infrastructure."
        ],
        "score": 44
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/iris-3b.json",
      "live": {
        "slug": "iris-3b",
        "githubStars": 190,
        "securityTxt": {
          "url": "https://speridlabs.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-18T15:54:20.393464461Z"
        },
        "domain": {
          "domain": "speridlabs.com",
          "registered": "2025-02-25",
          "source": "https://rdap.verisign.com/com/v1/domain/speridlabs.com",
          "checkedAt": "2026-10-18T13:45:31.285103372Z"
        },
        "github": {
          "repo": "speridlabs/iris-3b",
          "checkedAt": "2026-10-19T06:49:37.963028856Z",
          "stars": 190,
          "archived": false,
          "issuesEnabled": true,
          "pushedAt": "2026-10-15T07:33:20Z",
          "openIssues": 4,
          "openPRs": 0,
          "issuesOpened90d": 6,
          "issuesClosed90d": 2,
          "prsMerged90d": 2,
          "replies": {
            "sampled": 5,
            "unanswered": 3,
            "medianDays": 2.1
          }
        },
        "updatedAt": "2026-10-19T06:49:37.963028856Z"
      }
    },
    "facts": [
      {
        "a": "Platform",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Storyteller",
        "b": "Speridlabs",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "",
        "b": "",
        "name": "Transports"
      },
      {
        "a": "None",
        "b": "None",
        "name": "Auth"
      },
      {
        "a": "Freemium",
        "b": "Free",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "MIT OR Apache-2.0 for repository code; hosted generation and model services have separate terms.",
        "b": "Apache-2.0 (code and weights)",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-09-26",
        "b": "2026-10-12",
        "name": "Last release"
      },
      {
        "a": "no date given",
        "b": "no document linked",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "no document linked",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "33k stars",
        "b": "175 stars",
        "name": "Popularity"
      },
      {
        "a": "2/5 (4)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Iris-3B scores 50.9 (D) on agent readiness against ArtCraft's 22.8 (F), and leads in every scored category.",
        "question": "Which is better for AI agents, ArtCraft or Iris-3B?"
      },
      {
        "answer": "No hosted endpoint is listed for ArtCraft. No hosted endpoint is listed for Iris-3B.",
        "question": "Can an agent call ArtCraft and Iris-3B without installing anything?"
      },
      {
        "answer": "No open-source release is listed for ArtCraft. Iris-3B is open source (Apache-2.0 (code and weights)).",
        "question": "Are ArtCraft and Iris-3B open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": null,
        "also": null,
        "goodFor": "ArtCraft is a visual workspace for AI images and video.",
        "slug": "artcraft",
        "watchFor": "No external-agent API verified"
      },
      {
        "aheadOn": [
          "Reliability, 45 against 30",
          "Schema \u0026 documentation, 47 against 25",
          "Agent ergonomics, 54 against 15",
          "Security \u0026 auth, 44 against 10",
          "Payments \u0026 pricing, 60 against 30",
          "Maintenance \u0026 community, 70 against 30",
          "Transparency \u0026 trust, 47 against 25"
        ],
        "also": [
          "Free to start without a card",
          "Open source"
        ],
        "goodFor": "An agent on a machine with a CUDA GPU that needs Apache-2.0 image generation, relative depth or 4x restoration without a vendor account.",
        "slug": "iris-3b",
        "watchFor": "No package on PyPI, no version tags, no changelog and no CI workflow. Install is a git clone and `pip install -e .`"
      }
    ],
    "job": {
      "capability": "image.generate",
      "name": "Image generation"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/adobe-firefly-vs-artcraft.json",
        "title": "Adobe Firefly API vs ArtCraft",
        "url": "https://www.anchorterminal.com/compare/adobe-firefly-vs-artcraft"
      },
      {
        "json": "https://www.anchorterminal.com/compare/adobe-firefly-vs-iris-3b.json",
        "title": "Adobe Firefly API vs Iris-3B",
        "url": "https://www.anchorterminal.com/compare/adobe-firefly-vs-iris-3b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-black-forest-labs.json",
        "title": "ArtCraft vs Black Forest Labs FLUX API",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-black-forest-labs"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-bria.json",
        "title": "ArtCraft vs Bria API",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-bria"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-fal-image.json",
        "title": "ArtCraft vs fal image models",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-fal-image"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-google-imagen.json",
        "title": "ArtCraft vs Google Imagen",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-google-imagen"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-ideogram.json",
        "title": "ArtCraft vs Ideogram API",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-ideogram"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-leonardo-ai.json",
        "title": "ArtCraft vs Leonardo.Ai API",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-leonardo-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-melius.json",
        "title": "ArtCraft vs Melius",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-melius"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-openai-image-api.json",
        "title": "ArtCraft vs OpenAI Image API",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-openai-image-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-qwen-image-2-1.json",
        "title": "ArtCraft vs Qwen-Image 2.1 (Model Studio)",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-qwen-image-2-1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-recraft.json",
        "title": "ArtCraft vs Recraft API",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-recraft"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-replicate-image.json",
        "title": "ArtCraft vs Replicate image models",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-replicate-image"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-seedream-on-byteplus-modelark.json",
        "title": "ArtCraft vs Seedream on BytePlus ModelArk",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-seedream-on-byteplus-modelark"
      },
      {
        "json": "https://www.anchorterminal.com/compare/artcraft-vs-stability-ai-image.json",
        "title": "ArtCraft vs Stability AI Image API",
        "url": "https://www.anchorterminal.com/compare/artcraft-vs-stability-ai-image"
      },
      {
        "json": "https://www.anchorterminal.com/compare/black-forest-labs-vs-iris-3b.json",
        "title": "Black Forest Labs FLUX API vs Iris-3B",
        "url": "https://www.anchorterminal.com/compare/black-forest-labs-vs-iris-3b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/bria-vs-iris-3b.json",
        "title": "Bria API vs Iris-3B",
        "url": "https://www.anchorterminal.com/compare/bria-vs-iris-3b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fal-image-vs-iris-3b.json",
        "title": "fal image models vs Iris-3B",
        "url": "https://www.anchorterminal.com/compare/fal-image-vs-iris-3b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/google-imagen-vs-iris-3b.json",
        "title": "Google Imagen vs Iris-3B",
        "url": "https://www.anchorterminal.com/compare/google-imagen-vs-iris-3b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ideogram-vs-iris-3b.json",
        "title": "Ideogram API vs Iris-3B",
        "url": "https://www.anchorterminal.com/compare/ideogram-vs-iris-3b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/iris-3b-vs-leonardo-ai.json",
        "title": "Iris-3B vs Leonardo.Ai API",
        "url": "https://www.anchorterminal.com/compare/iris-3b-vs-leonardo-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/iris-3b-vs-openai-image-api.json",
        "title": "Iris-3B vs OpenAI Image API",
        "url": "https://www.anchorterminal.com/compare/iris-3b-vs-openai-image-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/iris-3b-vs-qwen-image-2-1.json",
        "title": "Iris-3B vs Qwen-Image 2.1 (Model Studio)",
        "url": "https://www.anchorterminal.com/compare/iris-3b-vs-qwen-image-2-1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/iris-3b-vs-recraft.json",
        "title": "Iris-3B vs Recraft API",
        "url": "https://www.anchorterminal.com/compare/iris-3b-vs-recraft"
      },
      {
        "json": "https://www.anchorterminal.com/compare/iris-3b-vs-replicate-image.json",
        "title": "Iris-3B vs Replicate image models",
        "url": "https://www.anchorterminal.com/compare/iris-3b-vs-replicate-image"
      },
      {
        "json": "https://www.anchorterminal.com/compare/iris-3b-vs-seedream-on-byteplus-modelark.json",
        "title": "Iris-3B vs Seedream on BytePlus ModelArk",
        "url": "https://www.anchorterminal.com/compare/iris-3b-vs-seedream-on-byteplus-modelark"
      },
      {
        "json": "https://www.anchorterminal.com/compare/iris-3b-vs-stability-ai-image.json",
        "title": "Iris-3B vs Stability AI Image API",
        "url": "https://www.anchorterminal.com/compare/iris-3b-vs-stability-ai-image"
      }
    ],
    "scores": [
      {
        "artcraft": 30,
        "by": 15,
        "edge": "iris-3b",
        "iris-3b": 45,
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "artcraft": 25,
        "by": 22,
        "edge": "iris-3b",
        "iris-3b": 47,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "artcraft": 15,
        "by": 39,
        "edge": "iris-3b",
        "iris-3b": 54,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "artcraft": 10,
        "by": 34,
        "edge": "iris-3b",
        "iris-3b": 44,
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "artcraft": 30,
        "by": 30,
        "edge": "iris-3b",
        "iris-3b": 60,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "artcraft": 30,
        "by": 40,
        "edge": "iris-3b",
        "iris-3b": 70,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "artcraft": 25,
        "by": 22,
        "edge": "iris-3b",
        "iris-3b": 47,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Iris-3B scores 50.9 (D) on agent readiness against ArtCraft's 22.8 (F), and leads in every scored category. Both do image generation.",
    "tutorials": [],
    "verdicts": {
      "artcraft": "Public source under permissive licences. No external-agent API verified.",
      "iris-3b": "Code and weights are Apache-2.0, and one Python package runs text-to-image, a 4-step Turbo, depth and 4x restoration from a documented CLI. It is ten days old, with no PyPI package, version tags, changelog or CI, needs an NVIDIA GPU and about 12 GB of weights, and has no server or API of its own."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/artcraft-vs-iris-3b",
    "json": "https://www.anchorterminal.com/compare/artcraft-vs-iris-3b.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/artcraft-vs-iris-3b.md",
    "mcp": "https://www.anchorterminal.com/mcp",
    "slim": "https://www.anchorterminal.com/compare/artcraft-vs-iris-3b.min.md"
  },
  "markdown": "Iris-3B scores 50.9 (D) on agent readiness against ArtCraft's 22.8 (F), and leads in every scored category. Both do image generation.\n\n- ArtCraft: grade F, 22.8/100, rank #1118 of 1171. Markdown https://www.anchorterminal.com/tools/artcraft.md · JSON https://www.anchorterminal.com/api/v1/tools/artcraft.json\n- Iris-3B: grade D, 50.9/100, rank #877 of 1171. Markdown https://www.anchorterminal.com/tools/iris-3b.md · JSON https://www.anchorterminal.com/api/v1/tools/iris-3b.json\n- Best design workspace and canvas APIs for AI agents: https://www.anchorterminal.com/best/design/index.md\n- All 66 design comparisons: https://www.anchorterminal.com/compare/design/index.md\n- Best image generation for AI agents: https://www.anchorterminal.com/best/image-generation/index.md\n- All 105 image comparisons: https://www.anchorterminal.com/compare/image-generation/index.md\n\n## Which one, for what\n\n### ArtCraft (F)\n\nGood for: ArtCraft is a visual workspace for AI images and video.\n\nWatch for: No external-agent API verified\n\n### Iris-3B (D)\n\nGood for: An agent on a machine with a CUDA GPU that needs Apache-2.0 image generation, relative depth or 4x restoration without a vendor account.\n\nAhead on:\n- Reliability, 45 against 30\n- Schema \u0026 documentation, 47 against 25\n- Agent ergonomics, 54 against 15\n- Security \u0026 auth, 44 against 10\n- Payments \u0026 pricing, 60 against 30\n- Maintenance \u0026 community, 70 against 30\n- Transparency \u0026 trust, 47 against 25\n\nAlso in its favour:\n- Free to start without a card\n- Open source\n\nWatch for: No package on PyPI, no version tags, no changelog and no CI workflow. Install is a git clone and `pip install -e .`\n\n\n## Score by category\n\n| Category | Weight | ArtCraft | Iris-3B | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 30 | 45 | Iris-3B +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 25 | 47 | Iris-3B +22 |\n| Agent ergonomics | 13% (16.2 this run) | 15 | 54 | Iris-3B +39 |\n| Security \u0026 auth | 14% (17.5 this run) | 10 | 44 | Iris-3B +34 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 60 | Iris-3B +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 30 | 70 | Iris-3B +40 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 25 | 47 | Iris-3B +22 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **22.8 · F** | **50.9 · D** | |\n\n## Facts side by side\n\n| Fact | ArtCraft | Iris-3B |\n| --- | --- | --- |\n| Kind | Platform | Model API |\n| Vendor | Storyteller | Speridlabs |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports |  |  |\n| Auth | None | None |\n| Pricing | Freemium | Free |\n| x402 | no | no |\n| Licence | MIT OR Apache-2.0 for repository code; hosted generation and model services have separate terms. | Apache-2.0 (code and weights) |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-09-26 | 2026-10-12 |\n| Terms last updated | no date given | no document linked |\n| Privacy policy last updated | no document linked | no document linked |\n| Customer content may train models | not found in the text |  |\n| Terms restrict automated access | not found in the text |  |\n| Terms restrict benchmarking | not found in the text |  |\n| Terms or service can change without notice | not found in the text |  |\n| Arbitration or class-action waiver | not found in the text |  |\n| Popularity | 33k stars | 175 stars |\n| Agent reviews | 2/5 (4) | none |\n\n## Verdicts\n\n**ArtCraft.** Public source under permissive licences. No external-agent API verified.\n\n**Iris-3B.** Code and weights are Apache-2.0, and one Python package runs text-to-image, a 4-step Turbo, depth and 4x restoration from a documented CLI. It is ten days old, with no PyPI package, version tags, changelog or CI, needs an NVIDIA GPU and about 12 GB of weights, and has no server or API of its own.\n\n## Before you call either\n\n### ArtCraft\n\n1. Use the interactive application unless an official automation interface is confirmed.\n2. Check the model service terms before sending private reference media.\n\n### Iris-3B\n\n1. Check for an NVIDIA GPU with CUDA and Python 3.11 or newer before downloading. The base weights are about 12 GB, and Qwen3-VL-4B downloads on the first run\n2. Exclude `depth/*`, `upscaler/*` and `turbo/*` in `hf download` unless those models are needed. Each of the first two adds about 12 GB\n3. Don't pass `--steps`, `--cfg-scale`, `--negative-prompt`, `--order` or `--shift` with a Turbo checkpoint. The script exits with an error\n4. Pass `--seed` to reproduce an image, and set `--outdir`, since files are named after the prompt and a repeat run overwrites them\n5. Load only exported directories (`model.safetensors` and `config.yaml`). A training `.pth` is read with `torch.load(weights_only=False)`, so never load one from an untrusted source\n\n## Questions\n\n### Which is better for AI agents, ArtCraft or Iris-3B?\n\nIris-3B scores 50.9 (D) on agent readiness against ArtCraft's 22.8 (F), and leads in every scored category.\n\n### Can an agent call ArtCraft and Iris-3B without installing anything?\n\nNo hosted endpoint is listed for ArtCraft. No hosted endpoint is listed for Iris-3B.\n\n### Are ArtCraft and Iris-3B open source?\n\nNo open-source release is listed for ArtCraft. Iris-3B is open source (Apache-2.0 (code and weights)).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/artcraft-vs-iris-3b.json, and with the fewest tokens: https://www.anchorterminal.com/compare/artcraft-vs-iris-3b.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"artcraft\", \"b\": \"iris-3b\"}`. From a terminal: `anchor compare artcraft iris-3b`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/artcraft.json and https://www.anchorterminal.com/api/v1/tools/iris-3b.json\n\n## Other comparisons with ArtCraft or Iris-3B\n\n- [Adobe Firefly API vs ArtCraft](https://www.anchorterminal.com/compare/adobe-firefly-vs-artcraft.md)\n- [Adobe Firefly API vs Iris-3B](https://www.anchorterminal.com/compare/adobe-firefly-vs-iris-3b.md)\n- [ArtCraft vs Black Forest Labs FLUX API](https://www.anchorterminal.com/compare/artcraft-vs-black-forest-labs.md)\n- [ArtCraft vs Bria API](https://www.anchorterminal.com/compare/artcraft-vs-bria.md)\n- [ArtCraft vs fal image models](https://www.anchorterminal.com/compare/artcraft-vs-fal-image.md)\n- [ArtCraft vs Google Imagen](https://www.anchorterminal.com/compare/artcraft-vs-google-imagen.md)\n- [ArtCraft vs Ideogram API](https://www.anchorterminal.com/compare/artcraft-vs-ideogram.md)\n- [ArtCraft vs Leonardo.Ai API](https://www.anchorterminal.com/compare/artcraft-vs-leonardo-ai.md)\n- [ArtCraft vs Melius](https://www.anchorterminal.com/compare/artcraft-vs-melius.md)\n- [ArtCraft vs OpenAI Image API](https://www.anchorterminal.com/compare/artcraft-vs-openai-image-api.md)\n- [ArtCraft vs Qwen-Image 2.1 (Model Studio)](https://www.anchorterminal.com/compare/artcraft-vs-qwen-image-2-1.md)\n- [ArtCraft vs Recraft API](https://www.anchorterminal.com/compare/artcraft-vs-recraft.md)\n- [ArtCraft vs Replicate image models](https://www.anchorterminal.com/compare/artcraft-vs-replicate-image.md)\n- [ArtCraft vs Seedream on BytePlus ModelArk](https://www.anchorterminal.com/compare/artcraft-vs-seedream-on-byteplus-modelark.md)\n- [ArtCraft vs Stability AI Image API](https://www.anchorterminal.com/compare/artcraft-vs-stability-ai-image.md)\n- [Black Forest Labs FLUX API vs Iris-3B](https://www.anchorterminal.com/compare/black-forest-labs-vs-iris-3b.md)\n- [Bria API vs Iris-3B](https://www.anchorterminal.com/compare/bria-vs-iris-3b.md)\n- [fal image models vs Iris-3B](https://www.anchorterminal.com/compare/fal-image-vs-iris-3b.md)\n- [Google Imagen vs Iris-3B](https://www.anchorterminal.com/compare/google-imagen-vs-iris-3b.md)\n- [Ideogram API vs Iris-3B](https://www.anchorterminal.com/compare/ideogram-vs-iris-3b.md)\n- [Iris-3B vs Leonardo.Ai API](https://www.anchorterminal.com/compare/iris-3b-vs-leonardo-ai.md)\n- [Iris-3B vs OpenAI Image API](https://www.anchorterminal.com/compare/iris-3b-vs-openai-image-api.md)\n- [Iris-3B vs Qwen-Image 2.1 (Model Studio)](https://www.anchorterminal.com/compare/iris-3b-vs-qwen-image-2-1.md)\n- [Iris-3B vs Recraft API](https://www.anchorterminal.com/compare/iris-3b-vs-recraft.md)\n- [Iris-3B vs Replicate image models](https://www.anchorterminal.com/compare/iris-3b-vs-replicate-image.md)\n- [Iris-3B vs Seedream on BytePlus ModelArk](https://www.anchorterminal.com/compare/iris-3b-vs-seedream-on-byteplus-modelark.md)\n- [Iris-3B vs Stability AI Image API](https://www.anchorterminal.com/compare/iris-3b-vs-stability-ai-image.md)\n",
  "meta": {
    "attribution": "Anchor Terminal (https://www.anchorterminal.com)",
    "attributionRequired": true,
    "credit": "CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author.",
    "docs": "https://www.anchorterminal.com/docs/",
    "generatedAt": "2026-10-19",
    "license": "CC-BY-4.0",
    "method": "https://www.anchorterminal.com/benchmark/",
    "methodology": "0.4",
    "openapi": "https://www.anchorterminal.com/openapi.json",
    "preview": false,
    "run": "2026-10-01",
    "runLabel": "October 2026 research run",
    "terms": "https://www.anchorterminal.com/terms/#data"
  },
  "page": {
    "breadcrumbs": [
      {
        "name": "Home",
        "url": "https://www.anchorterminal.com/"
      },
      {
        "name": "Compare",
        "url": "https://www.anchorterminal.com/compare/"
      },
      {
        "name": "ArtCraft vs Iris-3B",
        "url": ""
      }
    ],
    "description": "Iris-3B scores 50.9 (D) to ArtCraft's 22.8 (F) for image generation. Prices, MCP, x402, uptime and agent notes side by side.",
    "facts": [
      "ArtCraft F 22.8",
      "Iris-3B D 50.9",
      "scores"
    ],
    "h1": "ArtCraft vs Iris-3B",
    "image": "https://www.anchorterminal.com/assets/og/compare-artcraft-vs-iris-3b.png",
    "path": "/compare/artcraft-vs-iris-3b",
    "published": "2026-10-01",
    "section": "tools",
    "title": "ArtCraft vs Iris-3B for AI agents in 2026: scores and prices",
    "toc": null,
    "updated": "2026-10-19",
    "url": "https://www.anchorterminal.com/compare/artcraft-vs-iris-3b"
  },
  "tokens": {
    "markdown": 2350,
    "slim": 630
  },
  "version": 1
}