{
  "_id": "6a350a483efcd9bda43db565",
  "Package": "sd2R",
  "Type": "Package",
  "Title": "Stable Diffusion Image Generation",
  "Version": "0.2.1",
  "Authors@R": "c(\nperson(\"Yuri\", \"Baramykov\",\nemail = \"lbsbmsu@mail.ru\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0000-7627-4217\")),\nperson(\"Georgi\", \"Gerganov\",\nrole = c(\"ctb\", \"cph\"),\ncomment = \"Author of the GGML library\"),\nperson(\"leejet\",\nrole = c(\"ctb\", \"cph\"),\ncomment = \"Author of stable-diffusion.cpp\"),\nperson(\"stduhpf\",\nrole = \"ctb\",\ncomment = \"Core contributor to stable-diffusion.cpp\"),\nperson(\"Green-Sky\",\nrole = \"ctb\",\ncomment = \"Contributor to stable-diffusion.cpp\"),\nperson(\"wbruna\",\nrole = \"ctb\",\ncomment = \"Contributor to stable-diffusion.cpp\"),\nperson(\"akleine\",\nrole = \"ctb\",\ncomment = \"Contributor to stable-diffusion.cpp\"),\nperson(\"Martin\", \"Raiber\",\nrole = \"cph\",\ncomment = \"Copyright holder in miniz.h\"),\nperson(\"Rich\", \"Geldreich\",\nrole = \"cph\",\ncomment = \"Author of miniz.h\"),\nperson(\"RAD Game Tools\",\nrole = \"cph\",\ncomment = \"Copyright holder in miniz.h\"),\nperson(\"Valve Software\",\nrole = \"cph\",\ncomment = \"Copyright holder in miniz.h\"),\nperson(\"Alex\", \"Evans\",\nrole = \"cph\",\ncomment = \"PNG writing code in miniz.h\"),\nperson(\"Sean\", \"Barrett\",\nrole = \"cph\",\ncomment = \"Author of stb_image.h\"),\nperson(\"Jorge L\", \"Rodriguez\",\nrole = \"cph\",\ncomment = \"Author of stb_image_resize.h\"),\nperson(\"Niels\", \"Lohmann\",\nrole = \"cph\",\ncomment = \"Author of json.hpp (nlohmann/json)\"),\nperson(\"Susumu\", \"Yata\",\nrole = \"cph\",\ncomment = \"Author of darts.h (darts-clone)\"),\nperson(\"Kuba\", \"Podgorski\",\nrole = \"cph\",\ncomment = \"Author of zip.h/zip.c (kuba--/zip)\"),\nperson(\"Meta Platforms Inc.\",\nrole = \"cph\",\ncomment = \"rng_mt19937.hpp (ported from PyTorch)\"),\nperson(\"Google Inc.\",\nrole = \"cph\",\ncomment = \"Sentencepiece tokenizer code in t5.hpp\")\n)",
  "Description": "Provides Stable Diffusion image generation using the\n'ggmlR' library, with no 'Python' or external API dependencies.\nSupports text-to-image and image-to-image generation for SD\n1.x, SD 2.x, 'SDXL', Flux, and 'FLUX.2'. A single sd_generate()\nfunction handles the entire pipeline, including sampling and\nhigh-resolution output. Features multi-GPU support, a 'Shiny'\nGUI, and runs on CPU or 'Vulkan' GPU across Linux, macOS, and\nWindows.",
  "SystemRequirements": "GNU make, curl or wget (for downloading vocabulary\nfiles during installation)",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/Zabis13/sd2R",
  "BugReports": "https://github.com/Zabis13/sd2R/issues",
  "Encoding": "UTF-8",
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  "Packaged": {
    "Date": "2026-06-19 09:14:16 UTC",
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  "Author": "Yuri Baramykov [aut, cre] (ORCID:\n<https://orcid.org/0009-0000-7627-4217>), Georgi Gerganov [ctb,\ncph] (Author of the GGML library), leejet [ctb, cph] (Author of\nstable-diffusion.cpp), stduhpf [ctb] (Core contributor to\nstable-diffusion.cpp), Green-Sky [ctb] (Contributor to\nstable-diffusion.cpp), wbruna [ctb] (Contributor to\nstable-diffusion.cpp), akleine [ctb] (Contributor to\nstable-diffusion.cpp), Martin Raiber [cph] (Copyright holder in\nminiz.h), Rich Geldreich [cph] (Author of miniz.h), RAD Game\nTools [cph] (Copyright holder in miniz.h), Valve Software [cph]\n(Copyright holder in miniz.h), Alex Evans [cph] (PNG writing\ncode in miniz.h), Sean Barrett [cph] (Author of stb_image.h),\nJorge L Rodriguez [cph] (Author of stb_image_resize.h), Niels\nLohmann [cph] (Author of json.hpp (nlohmann/json)), Susumu Yata\n[cph] (Author of darts.h (darts-clone)), Kuba Podgorski [cph]\n(Author of zip.h/zip.c (kuba--/zip)), Meta Platforms Inc. [cph]\n(rng_mt19937.hpp (ported from PyTorch)), Google Inc. [cph]\n(Sentencepiece tokenizer code in t5.hpp)",
  "Maintainer": "Yuri Baramykov <lbsbmsu@mail.ru>",
  "Config/pak/sysreqs": "make wget",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2026-06-19 07:33:56 UTC",
  "RemoteUrl": "https://github.com/cran/sd2R",
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  "_exports": [
    "LORA_APPLY_MODE",
    "PREDICTION",
    "PREVIEW",
    "RNG_TYPE",
    "SAMPLE_METHOD",
    "SCHEDULER",
    "sd_api_start",
    "sd_api_stop",
    "sd_app",
    "SD_CACHE_MODE",
    "sd_cache_params",
    "sd_convert",
    "sd_ctx",
    "sd_decode_latent",
    "sd_default_params",
    "sd_denoise_step",
    "sd_destroy_context",
    "sd_download_model",
    "sd_encode_image",
    "sd_encode_text",
    "sd_generate",
    "sd_generate_multi_gpu",
    "sd_generate_multiref",
    "sd_image_to_array",
    "sd_img2img",
    "sd_inverse_noise_scale",
    "sd_list_models",
    "sd_load_image",
    "sd_load_mask",
    "sd_load_model",
    "sd_load_pipeline",
    "sd_node",
    "sd_noise_scale",
    "sd_pipeline",
    "sd_preview_start",
    "sd_preview_stop",
    "sd_profile_get",
    "sd_profile_start",
    "sd_profile_stop",
    "sd_profile_summary",
    "sd_read_preview",
    "sd_register_model",
    "sd_remove_model",
    "sd_run_pipeline",
    "sd_sample",
    "sd_sample_stepwise",
    "sd_sampler_begin",
    "sd_sampler_end",
    "sd_sampler_sigmas",
    "sd_save_image",
    "sd_save_pipeline",
    "sd_scan_models",
    "sd_supports_ref_images",
    "sd_system_info",
    "sd_txt2img",
    "sd_txt2img_highres",
    "sd_txt2img_tiled",
    "SD_TYPE",
    "sd_unload_all",
    "sd_unload_model",
    "sd_upscale_image",
    "sd_vulkan_device_count"
  ],
  "_help": [
    {
      "page": "LORA_APPLY_MODE",
      "title": "LoRA apply modes",
      "topics": [
        "LORA_APPLY_MODE"
      ]
    },
    {
      "page": "PREDICTION",
      "title": "Prediction types",
      "topics": [
        "PREDICTION"
      ]
    },
    {
      "page": "PREVIEW",
      "title": "Preview decode modes",
      "topics": [
        "PREVIEW"
      ]
    },
    {
      "page": "RNG_TYPE",
      "title": "RNG types",
      "topics": [
        "RNG_TYPE"
      ]
    },
    {
      "page": "SAMPLE_METHOD",
      "title": "Sampling methods",
      "topics": [
        "SAMPLE_METHOD"
      ]
    },
    {
      "page": "SCHEDULER",
      "title": "Schedulers",
      "topics": [
        "SCHEDULER"
      ]
    },
    {
      "page": "sd_api_start",
      "title": "Start sd2R REST API server",
      "topics": [
        "sd_api_start"
      ]
    },
    {
      "page": "sd_api_stop",
      "title": "Stop sd2R REST API server",
      "topics": [
        "sd_api_stop"
      ]
    },
    {
      "page": "sd_app",
      "title": "Launch sd2R Shiny GUI",
      "topics": [
        "sd_app"
      ]
    },
    {
      "page": "SD_CACHE_MODE",
      "title": "Cache modes",
      "topics": [
        "SD_CACHE_MODE"
      ]
    },
    {
      "page": "sd_cache_params",
      "title": "Create cache configuration for step caching",
      "topics": [
        "sd_cache_params"
      ]
    },
    {
      "page": "sd_convert",
      "title": "Convert model to different quantization format",
      "topics": [
        "sd_convert"
      ]
    },
    {
      "page": "sd_ctx",
      "title": "Create a Stable Diffusion context",
      "topics": [
        "sd_ctx"
      ]
    },
    {
      "page": "sd_decode_latent",
      "title": "Decode a latent into a pixel image (low-level VAE decode)",
      "topics": [
        "sd_decode_latent"
      ]
    },
    {
      "page": "sd_default_params",
      "title": "Default generation parameters",
      "topics": [
        "sd_default_params"
      ]
    },
    {
      "page": "sd_denoise_step",
      "title": "Run a single denoise step (low-level)",
      "topics": [
        "sd_denoise_step"
      ]
    },
    {
      "page": "sd_destroy_context",
      "title": "Release a stable diffusion context and free its VRAM",
      "topics": [
        "sd_destroy_context"
      ]
    },
    {
      "page": "sd_download_model",
      "title": "Download a Stable Diffusion model from Kaggle Models",
      "topics": [
        "sd_download_model"
      ]
    },
    {
      "page": "sd_encode_image",
      "title": "Encode an image into a latent (low-level VAE encode)",
      "topics": [
        "sd_encode_image"
      ]
    },
    {
      "page": "sd_encode_text",
      "title": "Encode a text prompt into conditioning (low-level)",
      "topics": [
        "sd_encode_text"
      ]
    },
    {
      "page": "sd_generate",
      "title": "Generate images (unified entry point)",
      "topics": [
        "sd_generate"
      ]
    },
    {
      "page": "sd_generate_multi_gpu",
      "title": "Parallel generation across multiple GPUs",
      "topics": [
        "sd_generate_multi_gpu"
      ]
    },
    {
      "page": "sd_generate_multiref",
      "title": "Generate an image conditioned on multiple reference images",
      "topics": [
        "sd_generate_multiref"
      ]
    },
    {
      "page": "sd_image_to_array",
      "title": "Convert SD image to R numeric array",
      "topics": [
        "sd_image_to_array"
      ]
    },
    {
      "page": "sd_img2img",
      "title": "Generate images with img2img",
      "topics": [
        "sd_img2img"
      ]
    },
    {
      "page": "sd_inverse_noise_scale",
      "title": "Undo final-step latent scaling (low-level)",
      "topics": [
        "sd_inverse_noise_scale"
      ]
    },
    {
      "page": "sd_list_models",
      "title": "List registered models",
      "topics": [
        "sd_list_models"
      ]
    },
    {
      "page": "sd_load_image",
      "title": "Load image from file as SD image",
      "topics": [
        "sd_load_image"
      ]
    },
    {
      "page": "sd_load_mask",
      "title": "Load a mask from a PNG file as a 1-channel SD image",
      "topics": [
        "sd_load_mask"
      ]
    },
    {
      "page": "sd_load_model",
      "title": "Load a registered model",
      "topics": [
        "sd_load_model"
      ]
    },
    {
      "page": "sd_load_pipeline",
      "title": "Load pipeline from JSON",
      "topics": [
        "sd_load_pipeline"
      ]
    },
    {
      "page": "sd_node",
      "title": "Create a pipeline node",
      "topics": [
        "sd_node"
      ]
    },
    {
      "page": "sd_noise_scale",
      "title": "Scale noise into the starting latent (low-level)",
      "topics": [
        "sd_noise_scale"
      ]
    },
    {
      "page": "sd_pipeline",
      "title": "Create a pipeline from nodes",
      "topics": [
        "sd_pipeline"
      ]
    },
    {
      "page": "sd_preview_start",
      "title": "Enable live generation previews",
      "topics": [
        "sd_preview_start"
      ]
    },
    {
      "page": "sd_preview_stop",
      "title": "Disable live generation previews",
      "topics": [
        "sd_preview_stop"
      ]
    },
    {
      "page": "sd_profile_get",
      "title": "Get raw profile events",
      "topics": [
        "sd_profile_get"
      ]
    },
    {
      "page": "sd_profile_start",
      "title": "Start profiling",
      "topics": [
        "sd_profile_start"
      ]
    },
    {
      "page": "sd_profile_stop",
      "title": "Stop profiling",
      "topics": [
        "sd_profile_stop"
      ]
    },
    {
      "page": "sd_profile_summary",
      "title": "Build a profile summary from raw events",
      "topics": [
        "sd_profile_summary"
      ]
    },
    {
      "page": "sd_read_preview",
      "title": "Read the current preview frame",
      "topics": [
        "sd_read_preview"
      ]
    },
    {
      "page": "sd_register_model",
      "title": "Register a model in the sd2R model registry",
      "topics": [
        "sd_register_model"
      ]
    },
    {
      "page": "sd_remove_model",
      "title": "Remove a model from the registry",
      "topics": [
        "sd_remove_model"
      ]
    },
    {
      "page": "sd_run_pipeline",
      "title": "Run a pipeline",
      "topics": [
        "sd_run_pipeline"
      ]
    },
    {
      "page": "sd_sample",
      "title": "Run the sampling loop (low-level)",
      "topics": [
        "sd_sample"
      ]
    },
    {
      "page": "sd_sample_stepwise",
      "title": "Run the sampling loop step-by-step in R (low-level)",
      "topics": [
        "sd_sample_stepwise"
      ]
    },
    {
      "page": "sd_sampler_window",
      "title": "Open / close a step-wise sampling window (low-level)",
      "topics": [
        "sd_sampler_begin",
        "sd_sampler_end"
      ]
    },
    {
      "page": "sd_sampler_sigmas",
      "title": "Sigma schedule for a sampler (low-level)",
      "topics": [
        "sd_sampler_sigmas"
      ]
    },
    {
      "page": "sd_save_image",
      "title": "Save SD image to PNG file",
      "topics": [
        "sd_save_image"
      ]
    },
    {
      "page": "sd_save_pipeline",
      "title": "Save pipeline to JSON",
      "topics": [
        "sd_save_pipeline"
      ]
    },
    {
      "page": "sd_scan_models",
      "title": "Scan a directory for models and register them",
      "topics": [
        "sd_scan_models"
      ]
    },
    {
      "page": "sd_supports_ref_images",
      "title": "Does the loaded model support reference images?",
      "topics": [
        "sd_supports_ref_images"
      ]
    },
    {
      "page": "sd_system_info",
      "title": "Get system information",
      "topics": [
        "sd_system_info"
      ]
    },
    {
      "page": "sd_txt2img",
      "title": "Generate images from text prompt",
      "topics": [
        "sd_txt2img"
      ]
    },
    {
      "page": "sd_txt2img_highres",
      "title": "High-resolution image generation via patch-based pipeline",
      "topics": [
        "sd_txt2img_highres"
      ]
    },
    {
      "page": "sd_txt2img_tiled",
      "title": "Tiled diffusion sampling (MultiDiffusion)",
      "topics": [
        "sd_txt2img_tiled"
      ]
    },
    {
      "page": "SD_TYPE",
      "title": "Weight types (ggml quantization types)",
      "topics": [
        "SD_TYPE"
      ]
    },
    {
      "page": "sd_unload_all",
      "title": "Unload all models from memory",
      "topics": [
        "sd_unload_all"
      ]
    },
    {
      "page": "sd_unload_model",
      "title": "Unload a model from memory",
      "topics": [
        "sd_unload_model"
      ]
    },
    {
      "page": "sd_upscale_image",
      "title": "Upscale an image using ESRGAN",
      "topics": [
        "sd_upscale_image"
      ]
    },
    {
      "page": "sd_vulkan_device_count",
      "title": "Get number of Vulkan GPU devices",
      "topics": [
        "sd_vulkan_device_count"
      ]
    }
  ],
  "_readme": "https://github.com/cran/sd2R/raw/HEAD/README.md",
  "_rundeps": [
    "base64enc",
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