v0.3.0 — FLUX.1/2 generation support New architecture: FLUX (flow-matching transformer) Auto-detected by checkpoint name — no flags needed Separate workflow: UNETLoader + DualCLIPLoader (T5+CLIP) + FluxGuidance No negative prompt (FLUX architecture) Quality presets tuned for FLUX (guidance 0–4, euler/simple/beta) Native FLUX resolutions (832×1216, 1344×768, 1024×1024…) Models installed: flux1-schnell-fp8 16.4 GB 4-step, Apache 2.0, best speed/quality t5xxl_fp8 4.6 GB shared T5-XXL text encoder clip_l 234 MB shared CLIP-L encoder flux-ae 159 MB FLUX VAE Ready to use (pending HF_TOKEN): flux1-dev — 20-step high quality flux1-krea-dev — natural/less AI-looking style flux2-dev — maximum quality from BFL Stack: PyTorch 2.11+cu130, ComfyUI, aarch64, 120 GB VRAM