Publish Ming-Image-0.1-Design-Layer release package

Publish the validated component-config package and refreshed model card assets; remove the legacy root inference_profile.json.

.gitattributes

@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 mllm/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+assets/showcase.webp filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2026 inclusionAI
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -1,3 +1,51 @@
 ---
 license: mit
+pipeline_tag: image-text-to-image
+inference: false
+tags:
+  - image-text-to-image
+  - layer-decomposition
+  - rgba
+  - graphic-design
 ---
+
+# Ming-Image-0.1-Design-Layer
+
+Ming-Image-0.1-Design-Layer decomposes a flattened design image into a
+requested number of RGBA layers using an image and a layer plan.
+
+## Gallery
+
+<p align="center">
+  <img src="./assets/showcase.webp" width="100%" alt="Ming-Image-0.1-Design-Layer decomposition example">
+</p>
+
+The example shows the input design, six decomposed layers, and the recomposed
+result.
+
+## Usage
+
+Installation instructions, inference code, and a runnable
+[layer-decomposition demo](https://github.com/inclusionAI/Ming-Image#layer-decomposition-demo)
+are available in the Ming-Image repository.
+
+Prompt enhancement (PE) can use `Ling-3.0-flash-VL` or `qwen3.8-27B`; see
+[layer-decomposition prompt rewriting](https://github.com/inclusionAI/Ming-Image#layer-decomposition-prompt-rewriting).
+
+## Recommended settings
+
+- Working-resolution bucket: **1024** (recommended), or **512** for faster
+  layer decomposition. The output preserves the input image's aspect ratio.
+- Sampling steps: **12**.
+- CFG scale: **2.0**.
+- Precision: **BF16**.
+- Hardware: **one CUDA GPU with 80 GiB VRAM** (validated configuration).
+
+Provide `--input-image` plus either a detailed layer specification through
+`--prompt`, or omit `--prompt` and set `--num-layers N` to create the default
+request. When `--prompt` is supplied, the layer count declared in that prompt
+controls the output count. The standalone outputs are saved as RGBA PNG files.
+
+## License
+
+This model is released under the [MIT License](./LICENSE).

inference_profile.json

@@ -1,8 +0,0 @@
-{
-  "schema_version": 1,
-  "inference_profile": "layer_decompose",
-  "alignment_padding_mode": "learned",
-  "multi_frame_output": true,
-  "vae_input_channels": 4,
-  "vae_sample_mode": "argmax"
-}

mllm/config.json

@@ -10,11 +10,6 @@
       "BailingMoeV2ForCausalLM"
     ],
     "attention_dropout": 0.0,
-    "auto_map": {
-      "AutoConfig": "configuration_bailing_moe_v2.BailingMoeV2Config",
-      "AutoModel": "modeling_bailing_moe_v2.BailingMoeV2Model",
-      "AutoModelForCausalLM": "modeling_bailing_moe_v2.BailingMoeV2ForCausalLM"
-    },
     "bad_words_ids": null,
     "begin_suppress_tokens": null,
     "bos_token_id": null,
@@ -133,10 +128,6 @@
     "architectures": [
       "Qwen2_5_VisionTransformer"
     ],
-    "auto_map": {
-      "AutoConfig": "configuration_qwen2_5_vit.Qwen2_5_VLVisionConfig",
-      "AutoModel": "qwen2_5_vit.Qwen2_5_VisionTransformer"
-    },
     "bad_words_ids": null,
     "begin_suppress_tokens": null,
     "bos_token_id": null,

mllm/preprocessor_config.json

@@ -1,28 +1,23 @@
 {
-    "auto_map": {
-        "AutoImageProcessor": "image_processing_bailingmm2.BailingMM2ImageProcessor",
-        "AutoProcessor": "processing_bailingmm2.BailingMM2Processor"
-    },
-    "min_pixels": 451584,
-    "max_pixels": 451584,
-    "patch_size": 14,
-    "temporal_patch_size": 2,
-    "merge_size": 2,
-    "image_mean": [
-        0.48145466,
-        0.4578275,
-        0.40821073
-    ],
-    "image_std": [
-        0.26862954,
-        0.26130258,
-        0.27577711
-    ],
-    "image_token": "<image>",
-    "video_token": "<video>",
-    "image_processor_type": "BailingMM2ImageProcessor",
-    "return_attention_mask": true,
-    "padding_side": "right",
-    "padding_value": 0.0,
-    "processor_class": "BailingMM2Processor"
+  "min_pixels": 451584,
+  "max_pixels": 451584,
+  "patch_size": 14,
+  "temporal_patch_size": 2,
+  "merge_size": 2,
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "image_token": "<image>",
+  "video_token": "<video>",
+  "image_processor_type": "BailingMM2ImageProcessor",
+  "return_attention_mask": true,
+  "padding_side": "right",
+  "padding_value": 0.0
 }

mllm/tokenizer_config.json

@@ -2330,13 +2330,5 @@
   "gmask_token": "[gMASK]",
   "merges_file": null,
   "model_max_length": 1000000000000000019884624838656,
-  "pad_token": "<|role_end|>",
-  "auto_map": {
-    "AutoTokenizer": [
-      "tokenization_bailing.BailingTokenizer",
-      null
-    ]
-  },
-  "tokenizer_class": "BailingTokenizer",
-  "trust_remote_code": true
+  "pad_token": "<|role_end|>"
 }

transformer/config.json

@@ -29,5 +29,7 @@
   "qk_norm": true,
   "rope_theta": 256.0,
   "siglip_feat_dim": null,
-  "t_scale": 1000.0
+  "t_scale": 1000.0,
+  "alignment_padding_mode": "learned",
+  "multi_frame_output": true
 }