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{
"_class_name": "StableDiffusionControlNetInpaintPipeline",
"_diffusers_version": "0.21.0",
"_name_or_path": "runwayml/stable-diffusion-v1-5",
"model_type": "stable-diffusion",
"pipeline_class": "StableDiffusionControlNetInpaintPipeline",
"components": {
"unet": {
"_class_name": "UNet2DConditionModel",
"_name_or_path": "runwayml/stable-diffusion-v1-5/unet",
"sample_size": 64,
"in_channels": 9,
"out_channels": 4,
"down_block_types": [
"CrossAttnDownBlock2D",
"CrossAttnDownBlock2D",
"CrossAttnDownBlock2D",
"DownBlock2D"
],
"up_block_types": [
"UpBlock2D",
"CrossAttnUpBlock2D",
"CrossAttnUpBlock2D",
"CrossAttnUpBlock2D"
],
"block_out_channels": [320, 640, 1280, 1280],
"layers_per_block": 2,
"attention_head_dim": 8,
"norm_num_groups": 32,
"cross_attention_dim": 768
},
"controlnet": {
"_class_name": "ControlNetModel",
"_name_or_path": "lllyasviel/sd-controlnet-openpose",
"conditioning_channels": 3,
"conditioning_embedding_out_channels": [16, 32, 96, 256],
"controlnet_conditioning_channel_order": "rgb",
"cross_attention_dim": 768,
"down_block_types": [
"CrossAttnDownBlock2D",
"CrossAttnDownBlock2D",
"CrossAttnDownBlock2D",
"DownBlock2D"
],
"flip_sin_to_cos": true,
"freq_shift": 0,
"layers_per_block": 2,
"mid_block_scale_factor": 1,
"norm_num_groups": 32,
"only_cross_attention": false,
"use_linear_projection": false
},
"vae": {
"_class_name": "AutoencoderKL",
"_name_or_path": "runwayml/stable-diffusion-v1-5/vae",
"sample_size": 512,
"in_channels": 3,
"out_channels": 3,
"down_block_types": ["DownEncoderBlock2D", "DownEncoderBlock2D", "DownEncoderBlock2D", "DownEncoderBlock2D"],
"up_block_types": ["UpDecoderBlock2D", "UpDecoderBlock2D", "UpDecoderBlock2D", "UpDecoderBlock2D"],
"block_out_channels": [128, 256, 512, 512],
"latent_channels": 4,
"layers_per_block": 2
},
"text_encoder": {
"_class_name": "CLIPTextModel",
"_name_or_path": "runwayml/stable-diffusion-v1-5/text_encoder",
"vocab_size": 49408,
"hidden_size": 768,
"intermediate_size": 3072,
"num_hidden_layers": 12,
"num_attention_heads": 12,
"max_position_embeddings": 77,
"hidden_act": "quick_gelu",
"layer_norm_eps": 1e-05,
"attention_dropout": 0.0,
"initializer_range": 0.02,
"initializer_factor": 1.0
},
"tokenizer": {
"_class_name": "CLIPTokenizer",
"_name_or_path": "runwayml/stable-diffusion-v1-5/tokenizer",
"vocab_size": 49408,
"model_max_length": 77,
"pad_token": "<|endoftext|>",
"unk_token": "<|endoftext|>",
"bos_token": "<|startoftext|>",
"eos_token": "<|endoftext|>"
},
"scheduler": {
"_class_name": "PNDMScheduler",
"_name_or_path": "runwayml/stable-diffusion-v1-5/scheduler",
"num_train_timesteps": 1000,
"beta_start": 0.00085,
"beta_end": 0.012,
"beta_schedule": "scaled_linear",
"trained_betas": null,
"skip_prk_steps": true,
"set_alpha_to_one": false,
"prediction_type": "epsilon",
"timestep_spacing": "leading",
"steps_offset": 1
}
},
"custom_pipeline": {
"pose_system": {
"method": "mediapipe",
"coverage": {
"total": 25.3,
"body": 11.4,
"hands": 3.5,
"face": 6.7,
"feet": 8.1,
"skeleton": 13.2
},
"channels": 5,
"target_size": [512, 512]
},
"safety_configuration": {
"mode": "fashion_moderate",
"enable_debug": false,
"safety_override": false,
"log_all_decisions": true
},
"generation_parameters": {
"num_inference_steps": 50,
"guidance_scale": 15.0,
"strength": 0.75,
"controlnet_conditioning_scale": 1.0,
"negative_prompt": "low quality, blurry, distorted, deformed, extra limbs, bad anatomy, extra hands, extra arms, malformed hands, poorly drawn hands"
},
"specialized_features": {
"hand_exclusion": true,
"proportion_preservation": true,
"coverage_analysis": true,
"checkpoint_support": ["realisticVisionV60B1_v51HyperVAE.safetensors"],
"face_preservation": true
}
},
"task": "image-inpainting",
"tags": [
"stable-diffusion",
"controlnet",
"pose-conditioning",
"fashion-inpainting",
"clothing-generation",
"body-proportions",
"pose-alignment"
],
"library_name": "diffusers",
"license": "openrail",
"model_description": "Pose-conditioned fashion inpainting system using Stable Diffusion 1.5 + ControlNet OpenPose. Features 25.3% pose coverage, hand exclusion processing, and safety-aware generation optimized for realistic clothing generation while preserving body proportions and pose alignment.",
"architecture": {
"base_model": "runwayml/stable-diffusion-v1-5",
"controlnet_model": "lllyasviel/sd-controlnet-openpose",
"pose_detector": "mediapipe",
"image_size": 512,
"precision": "fp16"
},
"performance_metrics": {
"single_person_success_rate": 0.33,
"pose_coverage_improvement": "25.3% vs 2% baseline",
"safety_false_positive_reduction": "60-80%",
"memory_stable": true
}
}