MiCkSoftware/icbinp-onnx-laria

ICBINP ONNX Laria Bundle

ONNX image-generation bundle prepared for Laria Android/Python parity testing.

Layout

• tokenizer/
• scheduler/scheduler_config.json
• text_encoder/model.onnx
• unet/model.onnx
• unet/model.onnx.data
• vae_encoder/model.onnx
• vae_encoder/config.json
• vae_decoder/model.onnx

Notes

• This model behaves like a classic Stable Diffusion pipeline and requires classifier-free guidance for coherent output.
• Python validation used guidance scale 5.0.
• Img2img requires the included vae_encoder.
• The vae_encoder/config.json only carries the VAE scaling factor needed by the local pipeline.

Local Test Scripts

Reference scripts live in the companion ONNX bench:

• onnx_txt2img_ICBINP.py
• onnx_img2img_ICBINP.py