Generate images and short video clips on your own GPU. No cloud, no Python, no fuss.
Documentation | Getting Started | Models | API
mold run "a cat riding a motorcycle through neon-lit streets"That's it. Mold auto-downloads the model on first run and saves the image to your current directory.
curl -fsSL https://raw.githubusercontent.com/utensils/mold/main/install.sh | shThis downloads the latest tagged release from
releases/latest and
installs it to ~/.local/bin/mold. On Linux, the installer auto-detects your
NVIDIA GPU and picks the right binary (RTX 40-series or RTX 50-series). macOS
builds include Metal support.
Pin a specific version with MOLD_VERSION:
curl -fsSL https://raw.githubusercontent.com/utensils/mold/main/install.sh | MOLD_VERSION=v0.10.0 shOther install methods
nix run github:utensils/mold -- run "a cat" # Ada / RTX 40-series
nix run github:utensils/mold#mold-sm120 -- run "a cat" # Blackwell / RTX 50-seriesparu -S mold-ai-bin # Prebuilt binary, CUDA sm_89 (RTX 40-series). Fastest.
paru -S mold-ai # Builds from source — set CUDA_COMPUTE_CAP=120 for RTX 50-series
paru -S mold-ai-git # Builds from main HEADConflicts with extra/mold (the rui314 linker) — they share the /usr/bin/mold
path. See packaging/aur/README.md for details and
the Blackwell (sm_120) build flag.
./scripts/ensure-web-dist.sh && cargo build --profile dev-fast -p mold-ai --features cuda # Linux (NVIDIA), fast local build
./scripts/ensure-web-dist.sh && cargo build --profile dev-fast -p mold-ai --features metal # macOS (Apple Silicon), fast local build
cargo build --release -p mold-ai --features cuda # Linux (NVIDIA), shipping build
cargo build --release -p mold-ai --features metal # macOS (Apple Silicon), shipping buildAdd preview, expand, discord, or tui to the features list as needed.
Pre-built binaries on the releases page.
Mold also has a native desktop app for macOS and Linux. It brings Generate, Gallery, Models, Chains, History, Jobs, RunPod, and Settings into one interface, and can use this device alongside multiple remote Mold hosts. The unified Catalog keeps installed models above the live catalog with image/video filters and pinned downloads, and lets you choose which host receives a download. Its Installed shelf merges every connected host with host badges, while both that screen and each host detail page show host-scoped pull progress. Size labels separate checkpoint weights from the larger footprint including shared runtime components. Curated built-in variants take precedence over ambiguous multi-checkpoint Hugging Face repositories, so a pull targets one runnable model instead of an entire aggregate repository. Every remembered remote host is retried immediately whenever the app launches, independently of This Mac's startup; unreachable hosts stay visible and retry. Chains also uses the all-host video-model union and keeps creation, progress, previews, and durable job actions routed to the selected model's host.
Desktop prompt expansion follows the visible Batch count. Batch 1 is a quick rewrite with undo; larger batches prepare exactly N editable variations for review before any work is queued. Expansion and every generated sibling stay on one resolved host (including Batch 1's next Generate), and changes to the source prompt, model, host, or count preserve the prepared work while requiring an explicit refresh or discard. Gallery records the prepared batch identity and each sibling's position. If that host lacks the expansion model, Generate keeps the recovery in place and shows its exact-host pull from connection through queue, byte/file progress, readiness, or retry without hiding reviewed prompts.
Download Mold for macOS · Desktop guide
The macOS DMG is signed and notarized. Linux builds are currently available through Nix or as source/CI artifacts; tagged releases do not publish an AppImage yet. Detailed setup, multi-host behavior, and update-channel guidance live in the desktop guide.
Mold for iPhone is a remote-only Tauri companion with first-class Generate,
Gallery, Catalog, and Hosts views, plus a dedicated Settings screen. Add a host by LAN discovery, IP address,
hostname, or Tailscale MagicDNS name; generation, model management, and media
remain on that remote Mold server. Host details expose live resources, queue,
downloads, and installed models, while Catalog can browse one host and send a
pull to another without silently changing the host selected for generation.
Pull actions immediately progress through Connecting, Starting, Queued, and
Pulling states, with live percentage and cancellation instead of leaving the
button looking idle.
The app uses the same HTTP, SSE, model defaults, resolution presets, and
generation request contract as the desktop app. New installs use the Safelight
theme family with system appearance, while saved theme choices persist. Generate brings its
capability-aware controls to touch: prompt expansion, candidates, recent prompts,
saved templates, batch queueing, source/edit images, masks, ControlNet, LoRA,
schedulers, CFG++, upscaling, and the video/LTX-2 pipeline controls. Estimates
come from the selected remote host, while orientation, proportional aspect-ratio
buttons, resolution tiers, and explicit Random/Fixed seed modes keep the common
choices direct. Every queued print has independent status and cancellation.
Saved results stream from the host instead of crossing the iPhone WebView as
encoded media; full-screen images swipe between prints, videos retain native
playback controls, and a still can become the next generation's source image.
Settings offers Mold or Safelight color families in System, Dark, or Light
appearance and keeps native iOS chrome in sync. The app prevents input-focus and
double-tap page zoom, removes rubber-band overscroll, and preserves the
gallery's horizontal swipe gesture. Internal TestFlight builds are produced
after mobile-relevant main changes pass iOS CI; release checks verify Tauri's
embedded index.html, the opaque Mold-branded Apple icon catalog, App Store
Connect VALID processing, and internal tester access.
On macOS, nix develop exposes ios-dev, ios-run, ios-check, and
ios-build. Xcode, CocoaPods, and Apple signing are required for device and App
Store builds. See the iPhone guide for
host setup, Tailscale, every current screen, and TestFlight boundaries.
mold run "a sunset over mountains" # Generate with default model
mold run flux-dev:q4 "a turtle in the desert" # Pick a model
mold run "a portrait" --width 768 --height 1024 # Custom size
mold run "a sunset" --batch 4 --seed 42 # Batch with reproducible seeds
mold run "oil painting" --image photo.png # img2img
mold run qwen-image-edit-2511:q4 "make the chair red leather" --image chair.png --image swatch.png
mold run ltx-video-0.9.6-distilled:bf16 "a fox in the snow" --frames 25
mold run "a cat" --expand # LLM prompt expansion
mold run qwen-image:q2 "a poster" --qwen2-variant q6 # Qwen-Image quantized text encoder
mold run flux-dev:bf16 "portrait" --lora style.safetensors # LoRA adapterQuantized Qwen-Image-Edit uses the safer split-CFG CUDA path at every resolution. If CUDA reports a context-killing fault such as an illegal address, Mold quarantines that GPU worker and exits so service supervision can recreate the context.
Display generated images directly in the terminal (requires preview feature):
mold run "a cat" --preview
Generating the mold logo with --preview in Ghostty
mold run "neon cityscape" | viu - # Pipe to image viewer
echo "a cat" | mold run flux-schnell # Pipe prompt from stdinmold tui
The TUI Generate view with Kitty graphics protocol image preview in Ghostty
mold list # See what you have
mold pull flux-dev:q4 # Download a model
mold rm dreamshaper-v8 # Remove a model
mold stats # Disk usage overview
mold clean # Clean orphaned files (dry-run)
mold clean --force # Actually delete# On your GPU server
mold serve
# From your laptop
MOLD_HOST=http://gpu-server:7680 mold run "a cat"Generate on a cloud GPU without managing pods yourself:
mold config set runpod.api_key <key> # one-time setup
mold runpod run "a cat on a skateboard" # creates pod → generates → saves to ./mold-outputs/
mold runpod network-volume create --name models --size 100 --dc US-KS-2
mold runpod run "a cat" --network-volume <volume-id>mold runpod run selects an available GPU, streams progress, and keeps the pod
warm for reuse. See the RunPod CLI guide
for provisioning, storage, diagnostics, and lifecycle commands.
See the full CLI reference, configuration guide, and model catalog in the documentation.
Supports 11 model families with 80+ variants:
| Family | Models | Highlights |
|---|---|---|
| FLUX.1 | schnell, dev, + fine-tunes | Best quality, 4-25 steps, LoRA support |
| Flux.2 Klein | 4B and 9B | Fast 4-step, low VRAM, default model |
| SDXL | base, turbo, + fine-tunes | Fast, flexible, negative prompts |
| SD 1.5 | base + fine-tunes | Lightweight, ControlNet support |
| SD 3.5 | large, medium, turbo | Triple encoder, high quality |
| Z-Image | turbo | Fast 9-step, Qwen3 encoder |
| Qwen-Image | base + 2512 | High resolution, CFG guidance, GGUF quant support |
| Qwen-Image-Edit | 2511 | Multimodal image editing, repeatable --image, negative prompts |
| Wuerstchen | v2 | 42x latent compression |
| LTX-2 / LTX-2.3 | 19B, 22B | Joint audio-video generation, MP4-first workflows |
| LTX Video | 0.9.6, 0.9.8 | Text-to-video with APNG/GIF/WebP/MP4 output |
Bare names auto-resolve: mold run flux-schnell "a cat" picks the best available variant.
See the full model catalog for sizes, VRAM requirements, and recommended settings.
- txt2img, img2img, multimodal edit, inpainting — full generation pipeline
- Image upscaling — Real-ESRGAN super-resolution (2x/4x) via
mold upscale, server API, or TUI; first use auto-downloads the upscaler on the host running the job, and post-generation upscale retains both original and upscaled gallery artifacts - LoRA adapters — FLUX, Flux.2, LTX-2, SD1.5, SD3/SD3.5, SDXL, Qwen-Image, Qwen-Image-Edit, and Z-Image
- ControlNet — canny, depth, openpose (SD1.5)
- Prompt expansion — local LLM (Qwen3-1.7B) enriches short prompts
- Negative prompts — CFG-based models (SD1.5, SDXL, SD3, Wuerstchen)
- Pipe-friendly —
echo "a cat" | mold run | viu - - PNG metadata — embedded prompt, seed, model info
- Terminal preview — Kitty, Sixel, iTerm2, halfblock
- Smart VRAM — quantized encoders, block offloading, drop-and-reload
- Qwen family encoder control — selectable Qwen2.5-VL variants for Qwen-Image and Qwen-Image-Edit, with quantized auto-fallback when BF16 would be too heavy
- Shell completions — bash, zsh, fish, elvish, powershell
- REST API —
mold servewith SSE streaming, auth, rate limiting - Discord bot — slash commands with role permissions and quotas
- Interactive TUI — generate, gallery, models, settings
- Native desktop — local and multi-host generation, gallery, model library, chains, history, jobs, RunPod, and settings
- Native iPhone — remote multi-host generation, gallery, model catalog, host telemetry, and appearance settings through internal TestFlight
| Method | Guide |
|---|---|
| NixOS module | Deployment: NixOS |
| Docker / RunPod | Deployment: Docker |
| mold runpod CLI | Deployment: RunPod CLI |
| Systemd | Deployment: Overview |
Single Rust binary built on candle for the in-tree model families. LTX-2 now runs through the native Rust stack in mold-inference, so the full model surface stays in Rust with no libtorch dependency.
mold run "a cat"
│
├─ Server running? → send request over HTTP
│
└─ No server? → load model locally on GPU
├─ Encode prompt (T5/CLIP text encoders)
├─ Denoise latent (transformer/UNet)
├─ Decode pixels (VAE)
└─ Save PNG
- NVIDIA GPU with CUDA or Apple Silicon with Metal
- Models auto-download on first use (~2-30GB depending on model)