schema = "m64/capsule@1"description = "MOSS-Image-Base + data-archetype's 8-step DMD2 LoRA text-to-image on GB10 (diffusers). OpenMOSS's MOSS-Image-Base with data-archetype/moss_image_base_dmd2 (rank 128, applied unmerged) and the fresh-noise sampler it was trained for: 1024x1024, 8 steps, CFG 1, shift 4.4817, bf16. Runs fully offline."kinds = ["image.generate"]authors = ["dh7"]license = "apache-2.0"[hardware]platform = "linux-aarch64"gpu = "NVIDIA GB10"gpu_count = 1vram_gb = 40driver = ">=580"disk_gb = 41[runtime]sandbox = "container"# No image: the Dockerfile builds on nvcr.io/nvidia/pytorch:25.09-py3 + diffusers 0.41.0, pinned by digest.gpu = trueshm_gb = 8internal_port = 9223health = "/health"expected_load_seconds = 600model_name = "moss-image-base-dmd2"user = "65534:65534"[[artifacts]]type = "hf"repo = "OpenMOSS-Team/MOSS-Image-Base"revision = "85975793d8b3d432f1b6e27f352abaa4c2a4c0d3"include = [  ".gitattributes",  "LICENSE",  "README.md",  "model_index.json",  "*.py",  "scheduler/*",  "text_encoder/*",  "tokenizer/*",  "transformer/*",  "vae/*",]mount = "/weights/moss-image-base"[[artifacts]]type = "hf"repo = "data-archetype/moss_image_base_dmd2"revision = "969b5a36cc7eff434cea4b53993baa88218276c1"include = [".gitattributes", "LICENSE", "README.md", "transformer/*"]mount = "/weights/moss-base-dmd2"# The server's own defaults (moss_image_server.py), which every request gets: callers can only send# prompt and seed. Returned as params_used.[params]size = "1024x1024"num_inference_steps = 8guidance_scale = 1.0shift = 4.4817sampler = "fresh-noise"lora = "moss_image_base_dmd2"[routes]extra = ["/v1/config"]