[diffusion] chore: add resolution shortcuts for sampling params (#14129)

python/sglang/multimodal_gen/configs/sample/__init__.py

@@ -1,5 +1,5 @@
 # Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
 
-from sglang.multimodal_gen.configs.sample.base import SamplingParams
+from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
 
 __all__ = ["SamplingParams"]

python/sglang/multimodal_gen/configs/sample/flux.py

@@ -3,7 +3,7 @@
 # SPDX-License-Identifier: Apache-2.0
 from dataclasses import dataclass
 
-from sglang.multimodal_gen.configs.sample.base import SamplingParams
+from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
 
 
 @dataclass

python/sglang/multimodal_gen/configs/sample/hunyuan.py

@@ -3,7 +3,7 @@
 # SPDX-License-Identifier: Apache-2.0
 from dataclasses import dataclass, field
 
-from sglang.multimodal_gen.configs.sample.base import SamplingParams
+from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
 from sglang.multimodal_gen.configs.sample.teacache import TeaCacheParams
 
 

python/sglang/multimodal_gen/configs/sample/qwenimage.py

@@ -3,7 +3,7 @@
 # SPDX-License-Identifier: Apache-2.0
 from dataclasses import dataclass
 
-from sglang.multimodal_gen.configs.sample.base import SamplingParams
+from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
 
 
 @dataclass

python/sglang/multimodal_gen/configs/sample/sampling_params.py

@@ -195,7 +195,7 @@ class SamplingParams:
         if self.prompt_path and not self.prompt_path.endswith(".txt"):
             raise ValueError("prompt_path must be a txt file")
 
-    def adjust(
+    def _adjust(
         self,
         server_args: ServerArgs,
     ):
@@ -319,7 +319,7 @@ class SamplingParams:
         sampling_params._merge_with_user_params(user_sampling_params)
         sampling_params.width_not_provided = user_sampling_params.width is None
         sampling_params.height_not_provided = user_sampling_params.height is None
-        sampling_params.adjust(server_args)
+        sampling_params._adjust(server_args)
 
         return sampling_params
 
@@ -421,6 +421,32 @@ class SamplingParams:
             default=SamplingParams.width,
             help="Width of generated output",
         )
+        # resolution shortcuts
+        parser.add_argument(
+            "--4k",
+            action="store_true",
+            dest="resolution_4k",
+            help="Set resolution to 4K (3840x2160)",
+        )
+        parser.add_argument(
+            "--2k",
+            action="store_true",
+            dest="resolution_2k",
+            help="Set resolution to 2K (2560x1440)",
+        )
+        parser.add_argument(
+            "--1080p",
+            action="store_true",
+            dest="resolution_1080p",
+            help="Set resolution to 1080p (1920x1080)",
+        )
+        parser.add_argument(
+            "--720p",
+            action="store_true",
+            dest="resolution_720p",
+            help="Set resolution to 720p (1280x720)",
+        )
+
         parser.add_argument(
             "--fps",
             type=int,
@@ -496,11 +522,25 @@ class SamplingParams:
         return parser
 
     @classmethod
-    def from_cli_args(cls, args: argparse.Namespace):
+    def get_cli_args(cls, args: argparse.Namespace):
+        # handle resolution shortcuts
+        if hasattr(args, "resolution_4k") and args.resolution_4k:
+            args.width = 3840
+            args.height = 2160
+        elif hasattr(args, "resolution_2k") and args.resolution_2k:
+            args.width = 2560
+            args.height = 1440
+        elif hasattr(args, "resolution_1080p") and args.resolution_1080p:
+            args.width = 1920
+            args.height = 1080
+        elif hasattr(args, "resolution_720p") and args.resolution_720p:
+            args.width = 1280
+            args.height = 720
+
         attrs = [attr.name for attr in dataclasses.fields(cls)]
         args.height_not_provided = False
         args.width_not_provided = False
-        return cls(**{attr: getattr(args, attr) for attr in attrs})
+        return {attr: getattr(args, attr) for attr in attrs}
 
     def output_file_path(self):
         return os.path.join(self.output_path, self.output_file_name)
@@ -575,8 +615,8 @@ class SamplingParams:
 
         # Log sampling parameters
         debug_str = f"""Sampling params:
-                      height: {target_height}
                        width: {target_width}
+                      height: {target_height}
                   num_frames: {self.num_frames}
                       prompt: {self.prompt}
                   neg_prompt: {self.negative_prompt}

python/sglang/multimodal_gen/configs/sample/stepvideo.py

@@ -3,7 +3,7 @@
 # SPDX-License-Identifier: Apache-2.0
 from dataclasses import dataclass
 
-from sglang.multimodal_gen.configs.sample.base import SamplingParams
+from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
 
 
 @dataclass

python/sglang/multimodal_gen/configs/sample/teacache.py

@@ -3,7 +3,7 @@
 # SPDX-License-Identifier: Apache-2.0
 from dataclasses import dataclass, field
 
-from sglang.multimodal_gen.configs.sample.base import CacheParams
+from sglang.multimodal_gen.configs.sample.sampling_params import CacheParams
 
 
 @dataclass

python/sglang/multimodal_gen/configs/sample/wan.py

@@ -3,7 +3,7 @@
 # SPDX-License-Identifier: Apache-2.0
 from dataclasses import dataclass, field
 
-from sglang.multimodal_gen.configs.sample.base import SamplingParams
+from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
 from sglang.multimodal_gen.configs.sample.teacache import WanTeaCacheParams
 
 

python/sglang/multimodal_gen/configs/sample/zimage.py

@@ -3,19 +3,13 @@
 # SPDX-License-Identifier: Apache-2.0
 from dataclasses import dataclass, field
 
-from sglang.multimodal_gen.configs.sample.base import SamplingParams
+from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
 from sglang.multimodal_gen.configs.sample.teacache import TeaCacheParams
 
 
 @dataclass
 class ZImageSamplingParams(SamplingParams):
     num_inference_steps: int = 9
-
-    num_frames: int = 1
-    height: int = 720
-    width: int = 1280
-    fps: int = 24
-
     guidance_scale: float = 0.0
 
     teacache_params: TeaCacheParams = field(

python/sglang/multimodal_gen/runtime/entrypoints/cli/generate.py

@@ -10,7 +10,7 @@ from typing import cast
 
 import sglang.multimodal_gen.envs as envs
 from sglang.multimodal_gen import DiffGenerator
-from sglang.multimodal_gen.configs.sample.base import (
+from sglang.multimodal_gen.configs.sample.sampling_params import (
     SamplingParams,
     generate_request_id,
 )
@@ -58,9 +58,7 @@ def add_multimodal_gen_generate_args(parser: argparse.ArgumentParser):
     return parser
 
 
-def maybe_dump_performance(
-    args: argparse.Namespace, server_args, sampling_params, results
-):
+def maybe_dump_performance(args: argparse.Namespace, server_args, prompt: str, results):
     """dump performance if necessary"""
     if not (args.perf_dump_path and results):
         return
@@ -82,7 +80,7 @@ def maybe_dump_performance(
         file_path=args.perf_dump_path,
         timings=timings,
         meta={
-            "prompt": sampling_params.prompt,
+            "prompt": prompt,
             "model": server_args.model_path,
         },
         tag="cli_generate",
@@ -100,17 +98,15 @@ def generate_cmd(args: argparse.Namespace):
         envs.SGLANG_DIFFUSION_STAGE_LOGGING = True
 
     server_args = ServerArgs.from_cli_args(args)
-    sampling_params = SamplingParams.from_cli_args(args)
-    sampling_params.request_id = generate_request_id()
+    sampling_params_kwargs = SamplingParams.get_cli_args(args)
     generator = DiffGenerator.from_pretrained(
         model_path=server_args.model_path, server_args=server_args
     )
 
-    results = generator.generate(
-        prompt=sampling_params.prompt, sampling_params=sampling_params
-    )
+    results = generator.generate(sampling_params_kwargs=sampling_params_kwargs)
 
-    maybe_dump_performance(args, server_args, sampling_params, results)
+    prompt = sampling_params_kwargs.get("prompt", None)
+    maybe_dump_performance(args, server_args, prompt, results)
 
 
 class GenerateSubcommand(CLISubcommand):

python/sglang/multimodal_gen/runtime/entrypoints/diffusion_generator.py

@@ -11,7 +11,6 @@ diffusion models.
 import multiprocessing as mp
 import os
 import time
-from copy import deepcopy
 from typing import Any
 
 import imageio
@@ -20,7 +19,10 @@ import torch
 import torchvision
 from einops import rearrange
 
-from sglang.multimodal_gen.configs.sample.base import DataType, SamplingParams
+from sglang.multimodal_gen.configs.sample.sampling_params import (
+    DataType,
+    SamplingParams,
+)
 from sglang.multimodal_gen.runtime.entrypoints.openai.utils import (
     MergeLoraWeightsReq,
     SetLoraReq,
@@ -208,32 +210,18 @@ class DiffGenerator:
 
     def generate(
         self,
-        prompt: str | list[str] | None = None,
-        sampling_params: SamplingParams | None = None,
-        **kwargs,
+        sampling_params_kwargs: dict | None = None,
     ) -> dict[str, Any] | list[np.ndarray] | list[dict[str, Any]] | None:
         """
         Generate a image/video based on the given prompt.
 
         Args:
-            prompt: The prompt to use for generation (optional if prompt_txt is provided)
-            output_file_name: Name of the file to save. Default is the first 100 characters of the prompt.
-            save_output: Whether to save the output to disk
-            return_frames: Whether to return the raw frames
-            num_inference_steps: Number of denoising steps (overrides server_args)
-            guidance_scale: Classifier-free guidance scale (overrides server_args)
-            num_frames: Number of frames to generate (overrides server_args)
-            height: Height of generated file (overrides server_args)
-            width: Width of generated file (overrides server_args)
-            fps: Frames per second for saved file (overrides server_args)
-            seed: Random seed for generation (overrides server_args)
-            callback: Callback function called after each step
-            callback_steps: Number of steps between each callback
 
         Returns:
             Either the output dictionary, list of frames, or list of results for batch processing
         """
         # 1. prepare requests
+        prompt = sampling_params_kwargs.get("prompt", None)
         prompts: list[str] = []
         # Handle batch processing from text file
         if self.server_args.prompt_file_path is not None:
@@ -258,29 +246,19 @@ class DiffGenerator:
         else:
             raise ValueError("Either prompt or prompt_txt must be provided")
 
-        pretrained_sampling_params = SamplingParams.from_pretrained(
-            self.server_args.model_path, **kwargs
+        sampling_params = SamplingParams.from_user_sampling_params_args(
+            self.server_args.model_path,
+            server_args=self.server_args,
+            **sampling_params_kwargs,
         )
-        pretrained_sampling_params._merge_with_user_params(sampling_params)
-        # TODO: simplify
-        data_type = (
-            DataType.IMAGE
-            if self.server_args.pipeline_config.task_type.is_image_gen()
-            or pretrained_sampling_params.num_frames == 1
-            else DataType.VIDEO
-        )
-        pretrained_sampling_params.data_type = data_type
-        pretrained_sampling_params._set_output_file_name()
-        pretrained_sampling_params.adjust(self.server_args)
 
         requests: list[Req] = []
         for output_idx, p in enumerate(prompts):
-            current_sampling_params = deepcopy(pretrained_sampling_params)
-            current_sampling_params.prompt = p
+            sampling_params.prompt = p
             requests.append(
                 prepare_request(
                     server_args=self.server_args,
-                    sampling_params=current_sampling_params,
+                    sampling_params=sampling_params,
                 )
             )
 

python/sglang/multimodal_gen/runtime/entrypoints/openai/image_api.py

@@ -8,7 +8,7 @@ from typing import List, Optional
 from fastapi import APIRouter, File, Form, HTTPException, Path, Query, UploadFile
 from fastapi.responses import FileResponse
 
-from sglang.multimodal_gen.configs.sample.base import (
+from sglang.multimodal_gen.configs.sample.sampling_params import (
     SamplingParams,
     generate_request_id,
 )

python/sglang/multimodal_gen/runtime/entrypoints/openai/utils.py

@@ -11,7 +11,7 @@ import torchvision
 from einops import rearrange
 from fastapi import UploadFile
 
-from sglang.multimodal_gen.configs.sample.base import DataType
+from sglang.multimodal_gen.configs.sample.sampling_params import DataType
 from sglang.multimodal_gen.runtime.utils.logging_utils import (
     init_logger,
     log_batch_completion,

python/sglang/multimodal_gen/runtime/entrypoints/openai/video_api.py

@@ -18,7 +18,7 @@ from fastapi import (
 )
 from fastapi.responses import FileResponse
 
-from sglang.multimodal_gen.configs.sample.base import (
+from sglang.multimodal_gen.configs.sample.sampling_params import (
     SamplingParams,
     generate_request_id,
 )

python/sglang/multimodal_gen/runtime/entrypoints/utils.py

@@ -9,7 +9,7 @@ diffusion models.
 """
 
 
-from sglang.multimodal_gen.configs.sample.base import SamplingParams
+from sglang.multimodal_gen.configs.sample.sampling_params import SamplingParams
 from sglang.multimodal_gen.runtime.pipelines_core.schedule_batch import Req
 from sglang.multimodal_gen.runtime.server_args import ServerArgs
 from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger

python/sglang/multimodal_gen/runtime/pipelines_core/schedule_batch.py

@@ -19,7 +19,7 @@ from typing import TYPE_CHECKING, Any, Optional
 import PIL.Image
 import torch
 
-from sglang.multimodal_gen.configs.sample.base import DataType
+from sglang.multimodal_gen.configs.sample.sampling_params import DataType
 from sglang.multimodal_gen.configs.sample.teacache import (
     TeaCacheParams,
     WanTeaCacheParams,

python/sglang/multimodal_gen/test/cli/test_generate_t2i_perf.py

@@ -3,7 +3,7 @@
 import unittest
 from pathlib import Path
 
-from sglang.multimodal_gen.configs.sample.base import DataType
+from sglang.multimodal_gen.configs.sample.sampling_params import DataType
 from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger
 from sglang.multimodal_gen.test.test_utils import TestGenerateBase
 

python/sglang/multimodal_gen/test/cli/test_generate_t2v_perf.py

@@ -2,7 +2,7 @@
 
 import unittest
 
-from sglang.multimodal_gen.configs.sample.base import DataType
+from sglang.multimodal_gen.configs.sample.sampling_params import DataType
 from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger
 from sglang.multimodal_gen.test.test_utils import TestGenerateBase
 

python/sglang/multimodal_gen/test/cli/test_generate_ti2v_perf.py

@@ -1,6 +1,6 @@
 import unittest
 
-from sglang.multimodal_gen.configs.sample.base import DataType
+from sglang.multimodal_gen.configs.sample.sampling_params import DataType
 from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger
 from sglang.multimodal_gen.test.test_utils import TestGenerateBase
 

python/sglang/multimodal_gen/test/server/perf_baselines.json

@@ -382,7 +382,7 @@
                 "7": 102.28,
                 "8": 105.54
             },
-            "expected_e2e_ms": 1248.41,
+            "expected_e2e_ms": 1383.47,
             "expected_avg_denoise_ms": 94.15,
             "expected_median_denoise_ms": 102.03
         },

python/sglang/multimodal_gen/test/test_utils.py

@@ -14,7 +14,7 @@ from typing import Optional
 
 from PIL import Image
 
-from sglang.multimodal_gen.configs.sample.base import DataType
+from sglang.multimodal_gen.configs.sample.sampling_params import DataType
 from sglang.multimodal_gen.runtime.utils.common import get_bool_env_var
 from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger
 from sglang.multimodal_gen.runtime.utils.perf_logger import (