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OpenFork Desktop

The local GPU worker for the AI movie studio your agent can operate.

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Available Services

WAN 2.2
8-24GB

High-quality video (Text/Image-to-Video)

LTX-2.3 Official
16-32GB

Official Lightricks LTX-2 Trainer package with the LTX-2.3 22B dev checkpoint. Standard upstream training targets 80GB+ VRAM; this lane targets the upstream 32GB low-VRAM INT8 config. 24GB is not an official supported trainer target.

DreamID-Omni
24GB

DreamID-Omni FP8 talking-head video with identity and voice reference inputs

Z-Image Turbo
8GB

ControlNet & Flux Image Gen

Z-Image
8-24GB

High-quality Z-Image (Q4_K_M GGUF)

Krea 2
8-24GB

Experimental Krea 2 Turbo GGUF Q3 text-to-image via ComfyUI-GGUF with Qwen3-VL text encoder and Qwen Image VAE

PiD
16GB

NVIDIA PiD 4x image super-resolution using the Flux/Z-Image-compatible VAE decoder path.

Anima
8-16GB

Anima text-to-image illustration model

FLUX Kontext
8-24GB

FLUX.1 Kontext [dev] GGUF Q4_K_M for 8GB VRAM; supports optional two-image composition by precomposing the source and identity reference

Qwen Edit
8-12GB

Qwen-Image-Edit-2511 instruction editing plus Qwen-Image-2512 character LoRA text-to-image inference

Qwen LoRA
24GB

Qwen-Image-2512 character LoRA text-to-image inference using the Unsloth Q4_K_M GGUF diffusion model for 24GB GPUs

Qwen Turbo
8GB

Ultra-fast instruction-based editing with an optional second reference image (2 steps)

VibeVoice
8GB

Clone-ready text-to-speech

Chatterbox
8GB

High-quality voice cloning

Qwen3-TTS
8-16GB

Alibaba's multilingual TTS with 9 premium voices

dots.tts MF
6GB

Rednote HiLab dots.tts MeanFlow-distilled continuous TTS and zero-shot voice cloning, smoke tested on the 6GB image

Scenema Audio
16GB

XML-driven expressive speech generation with zero-shot voice cloning

DiffRhythm
8GB

AI-powered music composition

Stable Audio 3
2GB

Stable Audio 3 Small-SFX sound-effects-only text-to-audio

AudioX
16-24GB

AudioX text-to-audio and video-conditioned sound generation

Local LLM
4GB

Local Qwen3 4B LLM for workflow planning on low-VRAM providers

HeartMuLa
16-24GB

4-bit quantized music generation (~8GB VRAM)

ACE-Step 1.5
8-16GB

ACE-Step 1.5 XL music generation for 16GB VRAM

MMAudio V2A
8-16GB

Video-to-audio synthesis (MMAudio small_44k)

Speech Enhancement
2GB

High-efficiency speech restoration and enhancement

PRiSM Audio
8-16GB

High-fidelity video-to-audio generation (PRiSM)

daVinci MagiHuman
16-32GB

daVinci-MagiHuman through Wan2GP with Magi Human Distill SR1080 quanto int8 weights. Use for realistic portrait talking-head/lip-sync shots only. Requires a realistic portrait start image; generates synchronized speech/audio from the text prompt.

SCAIL-2
16-24GB

Experimental SCAIL-2 14B WanGP candidate using the DeepBeepMeep int8 SCAIL-2 weights, SAM3 Magic Mask assets, and the native scail2_14B WanGP model type. Use for OpenFork 16GB smoke testing before production runs.

Vista4D
24GB

Vista4D 384p49 through Wan2GP for source-video novel-view reshooting with predefined camera trajectories.

SparkVSR
24GB

State-of-the-art video super-resolution (24GB VRAM required)

ERNIE-Image
8-24GB

Baidu ERNIE-Image Turbo text-to-image with CPU offload for 8GB GPUs

Ideogram 4
16-32GB

Ideogram 4 text-to-image using NF4 weights with CPU offload and structured JSON layer prompts; true 16GB Vast smoke passed on 2026-06-09

DomainShuttle
80GB

DomainShuttle subject-driven image-to-video using Wan2.2-DomainShuttle-A14B; registered as an 80GB service because the closest published upstream requirement is Wan2.2 A14B inference

TeleStyleV2
80GB

TeleStyleV2 content/style reference transfer on Qwen-Image-Edit-2509 with the TeleStyle and DMD LoRAs; upstream target is H100 80GB

NVIDIA GPU ONLY 8GB+ VRAM RECOMMENDED