Upload model using ModelScope SDK

.gitattributes

@@ -1,35 +1,53 @@
 *.7z filter=lfs diff=lfs merge=lfs -text
 *.arrow filter=lfs diff=lfs merge=lfs -text
 *.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
 *.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
 *.ftz filter=lfs diff=lfs merge=lfs -text
 *.gz filter=lfs diff=lfs merge=lfs -text
 *.h5 filter=lfs diff=lfs merge=lfs -text
 *.joblib filter=lfs diff=lfs merge=lfs -text
 *.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
 *.model filter=lfs diff=lfs merge=lfs -text
 *.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
 *.onnx filter=lfs diff=lfs merge=lfs -text
 *.ot filter=lfs diff=lfs merge=lfs -text
 *.parquet filter=lfs diff=lfs merge=lfs -text
 *.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
 *.pt filter=lfs diff=lfs merge=lfs -text
 *.pth filter=lfs diff=lfs merge=lfs -text
 *.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
 saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
 *.tflite filter=lfs diff=lfs merge=lfs -text
 *.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
 *.xz filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
+*.zstandard filter=lfs diff=lfs merge=lfs -text
+*.tfevents* filter=lfs diff=lfs merge=lfs -text
+*.db* filter=lfs diff=lfs merge=lfs -text
+*.ark* filter=lfs diff=lfs merge=lfs -text
+**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text
+**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text
+**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.gguf* filter=lfs diff=lfs merge=lfs -text
+*.ggml filter=lfs diff=lfs merge=lfs -text
+*.llamafile* filter=lfs diff=lfs merge=lfs -text
+*.pt2 filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -textassets/MOSS-Image-Base/dit_4.5bit.jpg filter=lfs diff=lfs merge=lfs -text
+assets/MOSS-Image-Base/dit_int8_6bit.jpg filter=lfs diff=lfs merge=lfs -text
+assets/MOSS-Image-SFT/bf16.jpg filter=lfs diff=lfs merge=lfs -text
+assets/MOSS-Image-SFT/dit_3.5bit.jpg filter=lfs diff=lfs merge=lfs -text
+assets/MOSS-Image-SFT/dit_4.5bit.jpg filter=lfs diff=lfs merge=lfs -text
+assets/MOSS-Image-SFT/dit_6bit.jpg filter=lfs diff=lfs merge=lfs -text
+assets/MOSS-Image-SFT/dit_int8_6bit.jpg filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,155 @@
+# MOSS-Image — EntroPack Pre-Quantized Models
+
+We provide pre-quantized weight packages produced by [**EntroPack**](https://github.com/modelscope/entropack) for **MOSS-Image** (Base and SFT, from [openmoss/MOSS-Image-Base](https://www.modelscope.cn/models/openmoss/MOSS-Image-Base) and [openmoss/MOSS-Image-SFT](https://www.modelscope.cn/models/openmoss/MOSS-Image-SFT)), which can be used with the quantization features of [**DiffSynth-Studio**](https://github.com/modelscope/DiffSynth-Studio). Use them with ComfyUI through [DiffSynth-ComfyUI](https://github.com/modelscope/DiffSynth-ComfyUI).
+
+The packages run with as little as 4 GB of VRAM.
+
+Base is provided at three levels, SFT additionally ships a 3.5-bit variant, and the 3.5-bit and 4.5-bit DiTs use mixed quantization. Base and SFT share the same text encoder packages:
+
+* **`3.5bit`** (SFT only, lowest VRAM) — mixed-bit: the quantization-sensitive layers keep **5.0 bpp**, while the remaining layers use **3.2516 bpp** (weighted target 3.5 bpp);
+* **`4.5bit`** (balanced) — mixed-bit: the quantization-sensitive layers keep **5.0 bpp**, while the remaining layers use **4.4172 bpp** (weighted target 4.5 bpp);
+* **`6bit`** (highest precision) — uniform entropy coding at 6 bits per weight;
+* **`int8_6bit`** (fastest inference) — weights are first **INT8 W8A8-quantized**, then entropy-coded by EntroPack down to 6-bit storage; the forward pass uses **INT8 GEMM**, which delivers a faster inference speed than the BF16 GEMM used by the other levels.
+
+All packages are entropy-coded from the original BF16 weights directly. Every `*.safetensors` ships with a same-named `*.json` that records its quantization config. `actual bpp = 8 × Σ storage bytes / Σ numel` is measured on the package artifacts.
+
+## Preview
+
+All previews are generated with the same prompt and seed; `bf16` is the full-precision reference.
+
+### SFT
+
+<table width="100%">
+  <tr>
+    <td width="33%" align="center">bf16 (reference)</td>
+    <td width="33%" align="center">6bit</td>
+    <td width="33%" align="center">int8@6</td>
+  </tr>
+  <tr>
+    <td align="center"><img width="100%" src="assets/MOSS-Image-SFT/bf16.jpg"></td>
+    <td align="center"><img width="100%" src="assets/MOSS-Image-SFT/dit_6bit.jpg"></td>
+    <td align="center"><img width="100%" src="assets/MOSS-Image-SFT/dit_int8_6bit.jpg"></td>
+  </tr>
+  <tr>
+    <td width="33%" align="center">4.5bit</td>
+    <td width="33%" align="center">3.5bit</td>
+    <td></td>
+  </tr>
+  <tr>
+    <td align="center"><img width="100%" src="assets/MOSS-Image-SFT/dit_4.5bit.jpg"></td>
+    <td align="center"><img width="100%" src="assets/MOSS-Image-SFT/dit_3.5bit.jpg"></td>
+    <td></td>
+  </tr>
+</table>
+
+### Base
+
+<table width="100%">
+  <tr>
+    <td width="25%" align="center">bf16 (reference)</td>
+    <td width="25%" align="center">6bit</td>
+    <td width="25%" align="center">4.5bit</td>
+    <td width="25%" align="center">int8@6</td>
+  </tr>
+  <tr>
+    <td align="center"><img width="100%" src="assets/MOSS-Image-Base/bf16.jpg"></td>
+    <td align="center"><img width="100%" src="assets/MOSS-Image-Base/dit_6bit.jpg"></td>
+    <td align="center"><img width="100%" src="assets/MOSS-Image-Base/dit_4.5bit.jpg"></td>
+    <td align="center"><img width="100%" src="assets/MOSS-Image-Base/dit_int8_6bit.jpg"></td>
+  </tr>
+</table>
+
+## DiT
+
+### SFT
+
+| name | file | actual bpp | size |
+|---|---|---|---|
+| dit_3.5bit (mixed) | `models/MOSS-Image-SFT/dit_3.5bit.safetensors` | 3.526 | 2.24 GB |
+| dit_4.5bit (mixed) | `models/MOSS-Image-SFT/dit_4.5bit.safetensors` | 4.545 | 2.89 GB |
+| dit_6bit | `models/MOSS-Image-SFT/dit_6bit.safetensors` | 6.055 | 3.85 GB |
+| dit_int8_6bit (INT8 GEMM) | `models/MOSS-Image-SFT/dit_int8_6bit.safetensors` | 6.063 | 3.85 GB |
+
+### Base
+
+| name | file | actual bpp | size |
+|---|---|---|---|
+| dit_4.5bit (mixed) | `models/MOSS-Image-Base/dit_4.5bit.safetensors` | 4.545 | 2.89 GB |
+| dit_6bit | `models/MOSS-Image-Base/dit_6bit.safetensors` | 6.055 | 3.85 GB |
+| dit_int8_6bit (INT8 GEMM) | `models/MOSS-Image-Base/dit_int8_6bit.safetensors` | 6.063 | 3.85 GB |
+
+## Text Encoder
+
+The text encoder packages are shared by Base and SFT.
+
+| name | file | actual bpp | size |
+|---|---|---|---|
+| text_encoder_4.5bit | `models/text_encoder_4.5bit.safetensors` | 4.552 | 5.97 GB |
+| text_encoder_6bit | `models/text_encoder_6bit.safetensors` | 6.070 | 7.29 GB |
+| text_encoder_int8_6bit (INT8 GEMM) | `models/text_encoder_int8_6bit.safetensors` | 6.075 | 7.29 GB |
+
+## Usage
+
+### Install
+
+```bash
+# DiffSynth-Studio
+git clone https://github.com/modelscope/DiffSynth-Studio.git
+cd DiffSynth-Studio && pip install -e .
+
+# EntroPack (pick the extra matching your CUDA version: cuda13 / cuda12)
+git clone https://github.com/modelscope/entropack.git
+cd entropack && pip install -e '.[cuda13]'
+```
+
+### Example scripts
+
+* Inference: [standard](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/moss_image/model_inference/MOSS-Image-EntroPack.py) / [low VRAM](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/moss_image/model_inference_low_vram/MOSS-Image-EntroPack.py) — defaults to SFT 4.5bit; switch `dit_package` / `base_model_id` together to use Base or another level
+* LoRA training: [train](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/moss_image/model_training/lora/MOSS-Image-entropack.sh) / [validation](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/moss_image/model_training/validate_lora/MOSS-Image-entropack.py) — defaults to SFT; replace `MOSS-Image-SFT` with `MOSS-Image-Base` in the dataset and model paths to train on Base
+
+`dit_package` and `text_encoder_package` are chosen independently: any combination works (e.g. `dit_int8_6bit` with `text_encoder_4.5bit`). The 6-bit packages are pre-registered in DiffSynth-Studio, so they load with a plain `ModelConfig`; the helper below registers any package's json sidecar before loading:
+
+```python
+import json
+
+import torch
+
+from diffsynth.configs import MODEL_CONFIGS
+from diffsynth.pipelines.moss_image import MOSSImagePipeline, ModelConfig
+
+prequant_model_id = "DiffSynth-Studio/MOSS-Image-EntroPack"
+base_model_id = "openmoss/MOSS-Image-SFT"
+dit_package = "models/MOSS-Image-SFT/dit_4.5bit.safetensors"
+text_encoder_package = "models/text_encoder_4.5bit.safetensors"
+
+
+def make_package(pattern):
+    package = ModelConfig(model_id=prequant_model_id, origin_file_pattern=pattern)
+    package.download_if_necessary()
+    sidecar = ModelConfig(model_id=prequant_model_id, origin_file_pattern=pattern.replace(".safetensors", ".json"))
+    sidecar.download_if_necessary()
+    with open(sidecar.path) as handle:
+        entry = json.load(handle)
+    if not any(config.get("model_hash") == entry["model_hash"] for config in MODEL_CONFIGS):
+        MODEL_CONFIGS.append(entry)
+    return package
+
+
+pipe = MOSSImagePipeline.from_pretrained(
+    torch_dtype=torch.bfloat16,
+    device="cuda",
+    model_configs=[
+        make_package(dit_package),
+        make_package(text_encoder_package),
+        ModelConfig(model_id=base_model_id, origin_file_pattern="vae/diffusion_pytorch_model.safetensors", computation_dtype=torch.float32),
+    ],
+    tokenizer_config=ModelConfig(model_id=base_model_id, origin_file_pattern="tokenizer/"),
+)
+
+image = pipe(
+    prompt="a cat sitting on a windowsill",
+    height=1024, width=1024,
+    seed=42, num_inference_steps=50, cfg_scale=3.0,
+)
+image.save("image.jpg")
+```

configuration.json

@@ -0,0 +1 @@
+{"task":"text-to-image-synthesis"}

models/MOSS-Image-Base/dit_4.5bit.json

@@ -0,0 +1,66 @@
+{
+  "model_hash": "770a2d4aebc6ebd39749c1186a16d8da",
+  "model_name": "moss_image_dit",
+  "model_class": "diffsynth.models.moss_image_dit.MOSSImageDiT",
+  "quant_config": {
+    "load_prequantized": true,
+    "configs": [
+      {
+        "method": "entropack_lossy_quant",
+        "backend_config_kwargs": {
+          "target_bpp": 4.417207792207792,
+          "row_rdo_iterations": 2,
+          "row_rdo_candidates": 20
+        },
+        "exclude_modules": [
+          "video_embedder",
+          "text_embedder.proj",
+          "text_embedder.blocks.0.qkv",
+          "text_embedder.blocks.0.proj",
+          "text_embedder.blocks.0.ffn_gate",
+          "text_embedder.blocks.0.ffn_up",
+          "text_embedder.blocks.0.ffn_down",
+          "text_embedder.blocks.1.qkv",
+          "text_embedder.blocks.1.proj",
+          "text_embedder.blocks.1.ffn_gate",
+          "text_embedder.blocks.1.ffn_up",
+          "text_embedder.blocks.1.ffn_down",
+          "time_embedding.0",
+          "time_embedding.2",
+          "shared_block_modulation",
+          "video_head_modulation",
+          "final_linear_video",
+          "proj.o"
+        ]
+      },
+      {
+        "method": "entropack_lossy_quant",
+        "backend_config_kwargs": {
+          "target_bpp": 5.0,
+          "row_rdo_iterations": 2,
+          "row_rdo_candidates": 20
+        },
+        "target_modules": [
+          "video_embedder",
+          "text_embedder.proj",
+          "text_embedder.blocks.0.qkv",
+          "text_embedder.blocks.0.proj",
+          "text_embedder.blocks.0.ffn_gate",
+          "text_embedder.blocks.0.ffn_up",
+          "text_embedder.blocks.0.ffn_down",
+          "text_embedder.blocks.1.qkv",
+          "text_embedder.blocks.1.proj",
+          "text_embedder.blocks.1.ffn_gate",
+          "text_embedder.blocks.1.ffn_up",
+          "text_embedder.blocks.1.ffn_down",
+          "time_embedding.0",
+          "time_embedding.2",
+          "shared_block_modulation",
+          "video_head_modulation",
+          "final_linear_video",
+          "proj.o"
+        ]
+      }
+    ]
+  }
+}

models/MOSS-Image-Base/dit_4.5bit.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7711390664e808b2e544170f0c361dd777c542e24cf10663b8418b46562fddb7
+size 2888146352

models/MOSS-Image-Base/dit_6bit.json

@@ -0,0 +1,14 @@
+{
+  "model_hash": "b895b1ad67dd7a9f225dc4ad7dcec3f2",
+  "model_name": "moss_image_dit",
+  "model_class": "diffsynth.models.moss_image_dit.MOSSImageDiT",
+  "quant_config": {
+    "method": "entropack_lossy_quant",
+    "load_prequantized": true,
+    "backend_config_kwargs": {
+      "target_bpp": 6.0,
+      "row_rdo_iterations": 2,
+      "row_rdo_candidates": 20
+    }
+  }
+}

models/MOSS-Image-Base/dit_6bit.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:585b74a300299081f130de34a411605a57ce6f8431e45a6ef5bfbb6518d73787
+size 3847012368

models/MOSS-Image-Base/dit_int8_6bit.json

@@ -0,0 +1,14 @@
+{
+  "model_hash": "36922e1c521a9873c7d507512d25ab2e",
+  "model_name": "moss_image_dit",
+  "model_class": "diffsynth.models.moss_image_dit.MOSSImageDiT",
+  "quant_config": {
+    "method": "entropack_lossy_quant_int8",
+    "load_prequantized": true,
+    "backend_config_kwargs": {
+      "target_bpp": 6.0,
+      "row_rdo_iterations": 2,
+      "row_rdo_candidates": 20
+    }
+  }
+}

models/MOSS-Image-Base/dit_int8_6bit.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ebb384ba6527dd10ce7d7eeaaeb8a94718b58cd99d3a9f59f9e61d9ca0d5e13
+size 3852165592

models/MOSS-Image-SFT/dit_3.5bit.json

@@ -0,0 +1,66 @@
+{
+  "model_hash": "311740a7691a2be4a4a81802db73e4ae",
+  "model_name": "moss_image_dit",
+  "model_class": "diffsynth.models.moss_image_dit.MOSSImageDiT",
+  "quant_config": {
+    "load_prequantized": true,
+    "configs": [
+      {
+        "method": "entropack_lossy_quant",
+        "backend_config_kwargs": {
+          "target_bpp": 3.2516233766233764,
+          "row_rdo_iterations": 2,
+          "row_rdo_candidates": 20
+        },
+        "exclude_modules": [
+          "video_embedder",
+          "text_embedder.proj",
+          "text_embedder.blocks.0.qkv",
+          "text_embedder.blocks.0.proj",
+          "text_embedder.blocks.0.ffn_gate",
+          "text_embedder.blocks.0.ffn_up",
+          "text_embedder.blocks.0.ffn_down",
+          "text_embedder.blocks.1.qkv",
+          "text_embedder.blocks.1.proj",
+          "text_embedder.blocks.1.ffn_gate",
+          "text_embedder.blocks.1.ffn_up",
+          "text_embedder.blocks.1.ffn_down",
+          "time_embedding.0",
+          "time_embedding.2",
+          "shared_block_modulation",
+          "video_head_modulation",
+          "final_linear_video",
+          "proj.o"
+        ]
+      },
+      {
+        "method": "entropack_lossy_quant",
+        "backend_config_kwargs": {
+          "target_bpp": 5.0,
+          "row_rdo_iterations": 2,
+          "row_rdo_candidates": 20
+        },
+        "target_modules": [
+          "video_embedder",
+          "text_embedder.proj",
+          "text_embedder.blocks.0.qkv",
+          "text_embedder.blocks.0.proj",
+          "text_embedder.blocks.0.ffn_gate",
+          "text_embedder.blocks.0.ffn_up",
+          "text_embedder.blocks.0.ffn_down",
+          "text_embedder.blocks.1.qkv",
+          "text_embedder.blocks.1.proj",
+          "text_embedder.blocks.1.ffn_gate",
+          "text_embedder.blocks.1.ffn_up",
+          "text_embedder.blocks.1.ffn_down",
+          "time_embedding.0",
+          "time_embedding.2",
+          "shared_block_modulation",
+          "video_head_modulation",
+          "final_linear_video",
+          "proj.o"
+        ]
+      }
+    ]
+  }
+}

models/MOSS-Image-SFT/dit_3.5bit.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3d4e391e82886ee939d4b4d4f218ca7b48af90f9ccde38e9f8832eaac1684aa8
+size 2240647624

models/MOSS-Image-SFT/dit_4.5bit.json

@@ -0,0 +1,66 @@
+{
+  "model_hash": "c036f97e97bf0df618ced91d7df02255",
+  "model_name": "moss_image_dit",
+  "model_class": "diffsynth.models.moss_image_dit.MOSSImageDiT",
+  "quant_config": {
+    "load_prequantized": true,
+    "configs": [
+      {
+        "method": "entropack_lossy_quant",
+        "backend_config_kwargs": {
+          "target_bpp": 4.417207792207792,
+          "row_rdo_iterations": 2,
+          "row_rdo_candidates": 20
+        },
+        "exclude_modules": [
+          "video_embedder",
+          "text_embedder.proj",
+          "text_embedder.blocks.0.qkv",
+          "text_embedder.blocks.0.proj",
+          "text_embedder.blocks.0.ffn_gate",
+          "text_embedder.blocks.0.ffn_up",
+          "text_embedder.blocks.0.ffn_down",
+          "text_embedder.blocks.1.qkv",
+          "text_embedder.blocks.1.proj",
+          "text_embedder.blocks.1.ffn_gate",
+          "text_embedder.blocks.1.ffn_up",
+          "text_embedder.blocks.1.ffn_down",
+          "time_embedding.0",
+          "time_embedding.2",
+          "shared_block_modulation",
+          "video_head_modulation",
+          "final_linear_video",
+          "proj.o"
+        ]
+      },
+      {
+        "method": "entropack_lossy_quant",
+        "backend_config_kwargs": {
+          "target_bpp": 5.0,
+          "row_rdo_iterations": 2,
+          "row_rdo_candidates": 20
+        },
+        "target_modules": [
+          "video_embedder",
+          "text_embedder.proj",
+          "text_embedder.blocks.0.qkv",
+          "text_embedder.blocks.0.proj",
+          "text_embedder.blocks.0.ffn_gate",
+          "text_embedder.blocks.0.ffn_up",
+          "text_embedder.blocks.0.ffn_down",
+          "text_embedder.blocks.1.qkv",
+          "text_embedder.blocks.1.proj",
+          "text_embedder.blocks.1.ffn_gate",
+          "text_embedder.blocks.1.ffn_up",
+          "text_embedder.blocks.1.ffn_down",
+          "time_embedding.0",
+          "time_embedding.2",
+          "shared_block_modulation",
+          "video_head_modulation",
+          "final_linear_video",
+          "proj.o"
+        ]
+      }
+    ]
+  }
+}

models/MOSS-Image-SFT/dit_4.5bit.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c6d87d430ea9f8492863697cc12ed138c38f10c9869ce2ae0e0532e995d99154
+size 2888143920

models/MOSS-Image-SFT/dit_6bit.json

@@ -0,0 +1,14 @@
+{
+  "model_hash": "6f2e6e215ce1ad45e42ef84632165fbd",
+  "model_name": "moss_image_dit",
+  "model_class": "diffsynth.models.moss_image_dit.MOSSImageDiT",
+  "quant_config": {
+    "method": "entropack_lossy_quant",
+    "load_prequantized": true,
+    "backend_config_kwargs": {
+      "target_bpp": 6.0,
+      "row_rdo_iterations": 2,
+      "row_rdo_candidates": 20
+    }
+  }
+}

models/MOSS-Image-SFT/dit_6bit.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:410f0b7d2c52c9b501062bec4db8afde8a94f0030e1df1def7664aeebe9f5c51
+size 3847154816

models/MOSS-Image-SFT/dit_int8_6bit.json

@@ -0,0 +1,14 @@
+{
+  "model_hash": "ad5f9335f74b2eb9d439ed118b0625ac",
+  "model_name": "moss_image_dit",
+  "model_class": "diffsynth.models.moss_image_dit.MOSSImageDiT",
+  "quant_config": {
+    "method": "entropack_lossy_quant_int8",
+    "load_prequantized": true,
+    "backend_config_kwargs": {
+      "target_bpp": 6.0,
+      "row_rdo_iterations": 2,
+      "row_rdo_candidates": 20
+    }
+  }
+}

models/MOSS-Image-SFT/dit_int8_6bit.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1c16c9bde987116e76d042ba1b6a70fff633bdb5ba402aeaf360191e6184d7ca
+size 3852155752

models/text_encoder_4.5bit.json

@@ -0,0 +1,14 @@
+{
+  "model_hash": "049a62efbdda31db8988e82dda6a1632",
+  "model_name": "moss_image_text_encoder",
+  "model_class": "diffsynth.models.moss_image_text_encoder.MOSSImageTextEncoder",
+  "quant_config": {
+    "method": "entropack_lossy_quant",
+    "load_prequantized": true,
+    "backend_config_kwargs": {
+      "target_bpp": 4.5,
+      "row_rdo_iterations": 2,
+      "row_rdo_candidates": 20
+    }
+  }
+}

models/text_encoder_4.5bit.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dc867ee99229cc0f0a326953f6c414bd3c2636f792d28341688983dc90adc281
+size 5973471704

models/text_encoder_6bit.json

@@ -0,0 +1,14 @@
+{
+  "model_hash": "c857c646d678fc7f40fe8465524efeeb",
+  "model_name": "moss_image_text_encoder",
+  "model_class": "diffsynth.models.moss_image_text_encoder.MOSSImageTextEncoder",
+  "quant_config": {
+    "method": "entropack_lossy_quant",
+    "load_prequantized": true,
+    "backend_config_kwargs": {
+      "target_bpp": 6.0,
+      "row_rdo_iterations": 2,
+      "row_rdo_candidates": 20
+    }
+  }
+}

models/text_encoder_6bit.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8d1590e2d13816680a163bcd357e1eae2cf50d8ceb422b317db693512b8adb01
+size 7285598144

models/text_encoder_int8_6bit.json

@@ -0,0 +1,14 @@
+{
+  "model_hash": "003277dd4ed448237a756b6502a65d57",
+  "model_name": "moss_image_text_encoder",
+  "model_class": "diffsynth.models.moss_image_text_encoder.MOSSImageTextEncoder",
+  "quant_config": {
+    "method": "entropack_lossy_quant_int8",
+    "load_prequantized": true,
+    "backend_config_kwargs": {
+      "target_bpp": 6.0,
+      "row_rdo_iterations": 2,
+      "row_rdo_candidates": 20
+    }
+  }
+}

models/text_encoder_int8_6bit.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aa98d23b48c3af573d441cc027262ec7656759596b671c7d44ed6d469a0ea4d9
+size 7290452872