Qwen-Image-2.1-viggle-turbo-4step-r64-comfy / qwen_image_2.1_viggle_turbo_v0.2.1_r256_comfy.manifest.json
| { | |
| "format": "pt", | |
| "t8_format": "viggle-comfy-lora-v1", | |
| "viggle_version": "0.2.1", | |
| "source_repo": "Viggle/Qwen-Image-2.1-viggle-turbo", | |
| "source_revision": "b667ee50696e8f4ccd161e02f8af0e43bb5665ed", | |
| "source_sha256": "2a0148f5c73abbed5f97da5ea356e439318aadb281d01fce4af39cdf43728803", | |
| "source_rank": "256", | |
| "base_model": "Qwen/Qwen-Image-2.1", | |
| "recommended_loader": "LoraLoaderBypassModelOnly", | |
| "base_precision": "BF16", | |
| "modification": "T8star: native keys and block-diagonal gate/up fusion; no base weights; no rank truncation.", | |
| "file": "qwen_image_2.1_viggle_turbo_v0.2.1_r256_comfy.safetensors", | |
| "bytes": 1761816604, | |
| "sha256": "448fd1a3fca9f00c6c889c487bf2f8be1e611def13b8f55a79688bebf1928975", | |
| "source_modules": 227, | |
| "native_modules": 195, | |
| "tensors": 585 | |
| } | |