Ming-Image integration status
Native support coversinclusionAI/Ming-Image-0.1-Design (generation and
single-image editing) and inclusionAI/Ming-Image-0.1-Design-Layer (ordered RGBA
layers). The checkpoints are not interchangeable. No remote modeling code is
used; checkpoint directories do not need conversion to a Diffusers layout.
H200 full-checkpoint checks include 2048-square generation, 1024-square
four-layer decomposition, and repeated 512-square HTTP generation and editing.
The HTTP checks cover cold starts, request warmup, layerwise offload, opt-in VAE
tiling, and one or two sequential generations per request,
requiring identical pixels across repeated requests with fixed inputs.
Two-H200 functional checks cover DiT TP2, Ulysses2, Ring2 with FlashAttention,
CFG parallelism for Design-Layer, encoder folding, and spatial VAE decoding.
Single-GPU checks cover DiT and encoder layerwise offload, Cache-DiT,
SageAttention, actual breakable CUDA graph replay, and dynamic LoRA load/remove
with a synthetic adapter. These checks do not establish quality equivalence for lossy
optimizations or bit-identical output across parallel topologies. Quantized
checkpoints and other GPU families remain unverified.
Run the opt-in HTTP regression tests on a CUDA host with sufficient memory:
Supported model inventory
Use a listed checkpoint as--model-path with sglang generate or
sglang serve. This registry-backed list contains known public entry points;
family detection may also support compatible local directories. Open the linked
Cookbook recipe for launch commands, optimizations, adapters, and model-specific
notes.
- Image and 3D
- Video and audio
- World and action