Qwen-Image-2.1-viggle-turbo-4step-r64-comfy / qwen_image_2.1_viggle_turbo_v0.2.1_r128_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": "bafb91d0047df3f9b8a5a850b0c967f051164314d8aad778dfa34d9c24ec345b", | |
| "source_rank": "128", | |
| "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_r128_comfy.safetensors", | |
| "bytes": 880946836, | |
| "sha256": "2bbf5b6c91d19ecb568a63d61ac490aa679a6a7bef14a68291abd386c0d4f77f", | |
| "source_modules": 227, | |
| "native_modules": 195, | |
| "tensors": 585 | |
| } | |