schema = "m64/capsule@1"description = "Kromoss + DMD2 8-step LoRA text-to-image on GB10 (diffusers). lodestones/Kromoss (MOSS-Image fine-tune) with its 8-step DMD2 LoRA: 1024x1024, 8 steps, CFG 1, shift 5, bf16. About 19 s per image on a DGX Spark (GB10)."kinds = ["image.generate"]authors = ["dh7"]license = "apache-2.0"[hardware]platform = "linux-aarch64"gpu = "NVIDIA GB10"gpu_count = 1# ~10 GB transformer + ~17 GB Qwen3.5-9B text encoder (bf16) + fp32 VAE and LoRA.vram_gb = 40driver = ">=580"disk_gb = 40[runtime]sandbox = "container"# No image: the Dockerfile builds on nvcr.io/nvidia/pytorch:25.09-py3 pinned by digest.gpu = trueshm_gb = 8internal_port = 9219health = "/health"# Measured: ~335 s to load off NFS in the source recipe; local NVMe is faster.expected_load_seconds = 420model_name = "kromoss-dmd2"user = "65534:65534"# Same file set as the original download script (which excludes diffusion_models/*,# text_encoders/*, assets/* and *.webp: the ComfyUI repackings and the card images).[[artifacts]]type = "hf"repo = "lodestones/Kromoss"revision = "7f9bb7b06d7b6c27d294b0bab5a2b3056c379279"include = [  ".gitattributes", "LICENSE", "README.md", "model_index.json", "*.py",  "8-steps-*.safetensors",  "scheduler/*", "text_encoder/*", "tokenizer/*", "transformer/*", "vae/*",]mount = "/weights/kromoss"[params]size = "1024x1024"num_inference_steps = 8guidance_scale = 1.0shift = 5.0lora = "8-steps-dmd2-lora"[routes]extra = ["/v1/config"]