| { |
| "source_model": "stable-diffusion-v1-5/stable-diffusion-v1-5", |
| "format": "LiteRT / TFLite diffusion submodels", |
| "image_size": [ |
| 512, |
| 512 |
| ], |
| "tokenizer_max_length": 77, |
| "vae_scaling_factor": 0.18215, |
| "variants": [ |
| "fp32", |
| "int8" |
| ], |
| "profiles": { |
| "android-qnn-npu": { |
| "platform": "android", |
| "preferred_accelerator": "NPU", |
| "delegate": "LiteRT Qualcomm AI Engine Direct (QNN)", |
| "notes": [ |
| "Mixed deployment profile for the Qualcomm NPU path through LiteRT CompiledModel.", |
| "This notebook still exports LiteRT/TFLite submodels, not Qualcomm-specific AOT context binaries.", |
| "Android packaging still needs Qualcomm LiteRT runtime libraries and arm64-v8a delivery." |
| ], |
| "source_variant": "int8", |
| "files": { |
| "text_encoder": "fp32/text_encoder.tflite", |
| "unet": "int8/unet.tflite", |
| "vae_decoder": "fp32/vae_decoder.tflite" |
| }, |
| "quantization": "fp32 text encoder + dynamic int8 UNet + fp32 VAE" |
| }, |
| "android-cpu": { |
| "platform": "android", |
| "preferred_accelerator": "CPU", |
| "delegate": "LiteRT CPU/XNNPACK", |
| "notes": [ |
| "Conservative fallback profile for Android when GPU/NPU compilation is unavailable.", |
| "Reuses the mixed int8 UNet path for smaller downloads and lower RAM pressure." |
| ], |
| "source_variant": "int8", |
| "files": { |
| "text_encoder": "fp32/text_encoder.tflite", |
| "unet": "int8/unet.tflite", |
| "vae_decoder": "fp32/vae_decoder.tflite" |
| }, |
| "quantization": "fp32 text encoder + dynamic int8 UNet + fp32 VAE" |
| }, |
| "android-gpu": { |
| "platform": "android", |
| "preferred_accelerator": "GPU", |
| "delegate": "LiteRT GPU delegate", |
| "notes": [ |
| "Uses the float export path because LiteRT GPU delegates are the most predictable there.", |
| "The text encoder still prefers INT32 token ids to avoid delegate-hostile INT64 input graphs." |
| ], |
| "source_variant": "fp32", |
| "files": { |
| "text_encoder": "fp32/text_encoder.tflite", |
| "unet": "fp32/unet.tflite", |
| "vae_decoder": "fp32/vae_decoder.tflite" |
| }, |
| "quantization": "fp32" |
| }, |
| "ios-coreml": { |
| "platform": "ios", |
| "preferred_accelerator": "CORE_ML", |
| "delegate": "LiteRT Core ML delegate", |
| "notes": [ |
| "Core ML delegate currently supports float models, so this profile stays on the float export path.", |
| "This notebook exports LiteRT/TFLite artifacts for the LiteRT Core ML delegate, not native `.mlmodel` files." |
| ], |
| "source_variant": "fp32", |
| "files": { |
| "text_encoder": "fp32/text_encoder.tflite", |
| "unet": "fp32/unet.tflite", |
| "vae_decoder": "fp32/vae_decoder.tflite" |
| }, |
| "quantization": "fp32", |
| "minimum_os": "iOS 12" |
| } |
| }, |
| "android_profile_priority": { |
| "GPU": "android-gpu", |
| "NPU": "android-qnn-npu", |
| "CPU": "android-cpu" |
| }, |
| "legacy_default_variant": "int8", |
| "preferred_text_encoder_token_dtype": "int32", |
| "text_encoder_runtime_config": "configs/text_encoder_runtime_config.json" |
| } |
