Tasks and inputs
Ming Image 0.1 Design Layer is listed for Image-text-to-image, Image-to-image. It accepts text, image and produces image. Use the publisher’s input format and preprocessing for your chosen deployment.
SyncDev model directory · Profile updated Oct 8, 2026
Ming Image 0.1 Design Layer separates a flattened design into requested transparent image layers for editing and recomposition.
The specification score summarizes recorded features and limits. It is not a benchmark result.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
Ming Image 0.1 Design Layer separates a flattened design into requested transparent image layers for editing and recomposition.
Design Layer takes an image and a layer plan and produces RGBA PNG layers. It is useful when a designer wants to separate a background, text region or illustration from an existing flat composition. The output is a set of raster layers, which should not be described as native editable text or vector paths.
Supply a detailed layer specification through the prompt, or use the default layer-count option when no prompt is provided. If the prompt declares a layer count, that declaration controls the output. The publisher recommends a 1024 working-resolution bucket, with 512 as a faster option, while preserving the input aspect ratio.
Recompose the returned layers and compare the result with the original image. Inspect transparent edges, overlapping objects, small text and regions whose appearance should not change. Check each layer on both a light and dark background to reveal halos or unintended opaque pixels.
The published validated setup uses BF16 on one CUDA GPU with 80 GiB VRAM. The companion Ming Image repository and vLLM-Omni recipe describe supported inference paths. The model is MIT-licensed. Keep the original image and the layer plan alongside outputs so an editor can identify what the decomposition changed and repeat it consistently.
Compare the model on the work you need to complete.
Ming Image 0.1 Design Layer is listed for Image-text-to-image, Image-to-image. It accepts text, image and produces image. Use the publisher’s input format and preprocessing for your chosen deployment.
Choose the output size and quality your design needs. Include drafts and revisions when budgeting an accepted image.
The weights are downloadable under MIT. Check runtime support and size the complete model and working context for your expected concurrency.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
1038lab
Hugging Face repository for Image-to-image.
Alissonerdx
Alissonerdx/BFS-Best-Face-Swap is a source-linked Hugging Face repository assigned to Image-to-image. Its recorded task interface accepts image and produces image.
autoweeb
Hugging Face repository for Image-to-image.
black-forest-labs
black-forest-labs/FLUX.1-Kontext-dev is a source-linked Hugging Face repository assigned to Image-to-image. Its recorded task interface accepts image and produces image.
black-forest-labs
black-forest-labs/FLUX.2-dev is a source-linked Hugging Face repository assigned to Image-to-image. Its recorded task interface accepts image and produces image.
black-forest-labs
black-forest-labs/FLUX.2-klein-4B is a source-linked Hugging Face repository assigned to Image-to-image. Its recorded task interface accepts image and produces image.