schema = "m64/capsule@1"description = "FLUX.2 [klein] 4B text-to-image on GB10 (diffusers). Black Forest Labs' distilled 4B rectified-flow model (Qwen3-4B text encoder, Apache-2.0) at 1024x1024, 4 steps, guidance 1, bf16. A small, fast FLUX.2."kinds = ["image.generate"]authors = ["dh7"]license = "apache-2.0"[hardware]platform = "linux-aarch64"gpu = "NVIDIA GB10"gpu_count = 1# ~8 GB transformer + ~8 GB Qwen3-4B text encoder (bf16) + VAE and activations.vram_gb = 24driver = ">=580"disk_gb = 18[runtime]sandbox = "container"# No image: the Dockerfile builds on nvcr.io/nvidia/pytorch:25.09-py3 pinned by digest.gpu = trueshm_gb = 8internal_port = 9019health = "/health"expected_load_seconds = 300model_name = "flux2-klein-4b"user = "65534:65534"[[artifacts]]type = "hf"repo = "black-forest-labs/FLUX.2-klein-4B"revision = "e7b7dc27f91deacad38e78976d1f2b499d76a294"# The diffusers folders only: not the 7.7 GB single-file (ComfyUI) checkpoint, not the# card's images.include = [  ".gitattributes", "LICENSE.md", "README.md", "model_index.json",  "scheduler/*", "text_encoder/*", "tokenizer/*", "transformer/*", "vae/*",]mount = "/weights/flux2"[params]size = "1024x1024"num_inference_steps = 4guidance_scale = 1.0[routes]extra = ["/v1/config"]