Stable Diffusion Image Generation

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Documentation for package ‘sd2R’ version 0.1.9

• DESCRIPTION file
• Package NEWS
• Package README

Help Pages

LORA_APPLY_MODE	LoRA apply modes
PREDICTION	Prediction types
RNG_TYPE	RNG types
SAMPLE_METHOD	Sampling methods
SCHEDULER	Schedulers
sd_api_start	Start sd2R REST API server
sd_api_stop	Stop sd2R REST API server
sd_app	Launch sd2R Shiny GUI
SD_CACHE_MODE	Cache modes
sd_cache_params	Create cache configuration for step caching
sd_convert	Convert model to different quantization format
sd_ctx	Create a Stable Diffusion context
sd_generate	Generate images (unified entry point)
sd_generate_multi_gpu	Parallel generation across multiple GPUs
sd_image_to_array	Convert SD image to R numeric array
sd_img2img	Generate images with img2img
sd_list_models	List registered models
sd_load_image	Load image from file as SD image
sd_load_model	Load a registered model
sd_load_pipeline	Load pipeline from JSON
sd_node	Create a pipeline node
sd_pipeline	Create a pipeline from nodes
sd_profile_get	Get raw profile events
sd_profile_start	Start profiling
sd_profile_stop	Stop profiling
sd_profile_summary	Build a profile summary from raw events
sd_register_model	Register a model in the sd2R model registry
sd_remove_model	Remove a model from the registry
sd_run_pipeline	Run a pipeline
sd_save_image	Save SD image to PNG file
sd_save_pipeline	Save pipeline to JSON
sd_scan_models	Scan a directory for models and register them
sd_system_info	Get system information
sd_txt2img	Generate images from text prompt
sd_txt2img_highres	High-resolution image generation via patch-based pipeline
sd_txt2img_tiled	Tiled diffusion sampling (MultiDiffusion)
SD_TYPE	Weight types (ggml quantization types)
sd_unload_all	Unload all models from memory
sd_unload_model	Unload a model from memory
sd_upscale_image	Upscale an image using ESRGAN
sd_vulkan_device_count	Get number of Vulkan GPU devices