[model]Add UltraFlux-v1-image support by erfgss · Pull Request #611 · vllm-project/vllm-omni

erfgss · 2026-01-04T09:29:06Z

PLEASE FILL IN THE PR DESCRIPTION HERE ENSURING ALL CHECKLIST ITEMS (AT THE BOTTOM) HAVE BEEN CONSIDERED.

Purpose

Add UltraFlux-v1-image support #327

Test Plan

python text_to_image.py \
  --model Owen777/UltraFlux-v1 \
  --prompt "A vast rocky landscape dominated by towering, weathered stone formations, bathed in the ethereal glow of a vibrant night sky filled with a sea of stars, the Milky Way stretching across the heavens, captured from a low angle to emphasize the immense scale of the rocks against the expansive cosmos above. The scene is illuminated by soft, cool moonlight, casting long, dramatic shadows on the textured rock surfaces. The color palette is rich with deep blues, purples, and silvery whites, creating a serene, otherworldly atmosphere." \
  --height 4096 \
  --width 4096 \
  --output UltraFlux-v1_image_output.png \
  --cache_backend cache_dit

Test Result

without cache_dit

Processed prompts: 100%|██████████| 1/1 [02:00<00:00, 120.95s/img, est. speed stage-0 img/s: 0.00, avg e2e_lat: 0.0ms]
INFO 01-04 03:05:42 [omni.py:687] [Summary] {'e2e_requests': 1,mg, est. speed stage-0 img/s: 0.00, avg e2e_lat: 0.0ms]
INFO 01-04 03:05:42 [omni.py:687]  'e2e_total_time_ms': 120952.95739173889,
INFO 01-04 03:05:42 [omni.py:687]  'e2e_sum_time_ms': 120951.51662826538,
INFO 01-04 03:05:42 [omni.py:687]  'e2e_total_tokens': 0,
INFO 01-04 03:05:42 [omni.py:687]  'e2e_avg_time_per_request_ms': 120951.51662826538,
INFO 01-04 03:05:42 [omni.py:687]  'e2e_avg_tokens_per_s': 0.0,
INFO 01-04 03:05:42 [omni.py:687]  'wall_time_ms': 120952.95739173889,
INFO 01-04 03:05:42 [omni.py:687]  'final_stage_id': {'0_5208ad13-e972-40b0-b30a-45fbac8b7d4e': 0},
INFO 01-04 03:05:42 [omni.py:687]  'stages': [{'stage_id': 0,
INFO 01-04 03:05:42 [omni.py:687]              'requests': 1,
INFO 01-04 03:05:42 [omni.py:687]              'tokens': 0,
INFO 01-04 03:05:42 [omni.py:687]              'total_time_ms': 120951.89571380615,
INFO 01-04 03:05:42 [omni.py:687]              'avg_time_per_request_ms': 120951.89571380615,
INFO 01-04 03:05:42 [omni.py:687]              'avg_tokens_per_s': 0.0}],
INFO 01-04 03:05:42 [omni.py:687]  'transfers': []}
Adding requests:   0%|          | 0/1 [02:00<?, ?it/s]
[Stage-0] ERROR 01-04 03:05:42 [omni_stage.py:636] Received shutdown signal
[Stage-0] INFO 01-04 03:05:42 [gpu_worker.py:265] Worker 0: Received shutdown message
[Stage-0] INFO 01-04 03:05:42 [gpu_worker.py:287] event loop terminated.
[Stage-0] INFO 01-04 03:05:43 [gpu_worker.py:318] Worker 0: Shutdown complete.
INFO 01-04 03:05:46 [text_to_image.py:168] Outputs: [OmniRequestOutput(request_id='', finished=True, stage_id=0, final_output_type='image', request_output=[OmniRequestOutput(request_id='0_5208ad13-e972-40b0-b30a-45fbac8b7d4e', finished=True, stage_id=None, final_output_type='image', request_output=None, images=[1 PIL Images], prompt='A vast rocky landscape dominated by towering, weathered stone formations, bathed in the ethereal glow of a vibrant night sky filled with a sea of stars, the Milky Way stretching across the heavens, captured from a low angle to emphasize the immense scale of the rocks against the expansive cosmos above. The scene is illuminated by soft, cool moonlight, casting long, dramatic shadows on the textured rock surfaces. The color palette is rich with deep blues, purples, and silvery whites, creating a serene, otherworldly atmosphere.', latents=None, metrics={})], images=[], prompt=None, latents=None, metrics={})]
Saved generated image to UltraFlux-v1_image_output.png

with cache_dit

Processed prompts: 100%|██████████| 1/1 [00:43<00:00, 43.56s/img, est. speed stage-0 img/s: 0.00, avg e2e_lat: 0.0ms]
INFO 01-04 03:09:29 [omni.py:687] [Summary] {'e2e_requests': 1,g, est. speed stage-0 img/s: 0.00, avg e2e_lat: 0.0ms]
INFO 01-04 03:09:29 [omni.py:687]  'e2e_total_time_ms': 43562.40963935852,
INFO 01-04 03:09:29 [omni.py:687]  'e2e_sum_time_ms': 43560.83941459656,
INFO 01-04 03:09:29 [omni.py:687]  'e2e_total_tokens': 0,
INFO 01-04 03:09:29 [omni.py:687]  'e2e_avg_time_per_request_ms': 43560.83941459656,
INFO 01-04 03:09:29 [omni.py:687]  'e2e_avg_tokens_per_s': 0.0,
INFO 01-04 03:09:29 [omni.py:687]  'wall_time_ms': 43562.40963935852,
INFO 01-04 03:09:29 [omni.py:687]  'final_stage_id': {'0_81384414-7d7f-4871-ace1-48322e07f1f2': 0},
INFO 01-04 03:09:29 [omni.py:687]  'stages': [{'stage_id': 0,
INFO 01-04 03:09:29 [omni.py:687]              'requests': 1,
INFO 01-04 03:09:29 [omni.py:687]              'tokens': 0,
INFO 01-04 03:09:29 [omni.py:687]              'total_time_ms': 43561.26618385315,
INFO 01-04 03:09:29 [omni.py:687]              'avg_time_per_request_ms': 43561.26618385315,
INFO 01-04 03:09:29 [omni.py:687]              'avg_tokens_per_s': 0.0}],
INFO 01-04 03:09:29 [omni.py:687]  'transfers': []}
Adding requests:   0%|          | 0/1 [00:43<?, ?it/s]
[Stage-0] ERROR 01-04 03:09:29 [omni_stage.py:636] Received shutdown signal
[Stage-0] INFO 01-04 03:09:29 [gpu_worker.py:265] Worker 0: Received shutdown message
[Stage-0] INFO 01-04 03:09:29 [gpu_worker.py:287] event loop terminated.
[Stage-0] INFO 01-04 03:09:29 [gpu_worker.py:318] Worker 0: Shutdown complete.
INFO 01-04 03:09:32 [text_to_image.py:168] Outputs: [OmniRequestOutput(request_id='', finished=True, stage_id=0, final_output_type='image', request_output=[OmniRequestOutput(request_id='0_81384414-7d7f-4871-ace1-48322e07f1f2', finished=True, stage_id=None, final_output_type='image', request_output=None, images=[1 PIL Images], prompt='A vast rocky landscape dominated by towering, weathered stone formations, bathed in the ethereal glow of a vibrant night sky filled with a sea of stars, the Milky Way stretching across the heavens, captured from a low angle to emphasize the immense scale of the rocks against the expansive cosmos above. The scene is illuminated by soft, cool moonlight, casting long, dramatic shadows on the textured rock surfaces. The color palette is rich with deep blues, purples, and silvery whites, creating a serene, otherworldly atmosphere.', latents=None, metrics={})], images=[], prompt=None, latents=None, metrics={})]
Saved generated image to UltraFlux-v1_image_output.png

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The purpose of the PR, such as "Fix some issue (link existing issues this PR will resolve)".
The test plan, such as providing test command.
The test results, such as pasting the results comparison before and after, or e2e results
(Optional) The necessary documentation update, such as updating supported_models.md and examples for a new model.
(Optional) Release notes update. If your change is user facing, please update the release notes draft.

BEFORE SUBMITTING, PLEASE READ https://github.com/vllm-project/vllm-omni/blob/main/CONTRIBUTING.md (anything written below this line will be removed by GitHub Actions)

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chatgpt-codex-connector · 2026-01-04T09:34:34Z

        "pipeline_wan2_2",
        "Wan22Pipeline",
    ),


Preserve existing diffusion model registrations

This registry block now omits several existing pipelines (e.g., WanImageToVideoPipeline, BagelPipeline, LongCatImageEditPipeline, StableDiffusion3Pipeline) even though their modules still exist under vllm_omni/diffusion/models. Since initialize_model looks up od_config.model_class_name in _DIFFUSION_MODELS and raises a ValueError when missing, any config that previously used those model_class_name values will now fail to initialize. Please restore those entries or explicitly deprecate them across docs/configs.

Useful? React with 👍 / 👎.

chatgpt-codex-connector · 2026-01-04T09:34:34Z

+    #UltraFlux
+    "FluxPipeline": (
+        "ultraflux-v1_image",
+        "pipeline_ultraflux",
+        "UltraFluxPipeline",


Register UltraFlux under UltraFluxPipeline key

The new UltraFlux entry is keyed as FluxPipeline, but the actual class and docs use UltraFluxPipeline. If users set model_class_name=UltraFluxPipeline as documented, _DIFFUSION_MODELS lookup will fail and initialize_model will raise “Model class UltraFluxPipeline not found.” Please register it under UltraFluxPipeline (or update naming consistently) so the model is loadable.

Useful? React with 👍 / 👎.

david6666666 · 2026-01-04T09:37:01Z

    {
        "WanPipeline": enable_cache_for_wan22,
        "FluxPipeline": enable_cache_for_flux,
+        "UltraFluxPipeline": enable_cache_for_flux,


maybe you need to update new func name such as enable_cache_for_ultraflux

david6666666 · 2026-01-04T09:37:44Z

        "pipeline_wan2_2",
        "Wan22Pipeline",
    ),
-    "WanImageToVideoPipeline": (


do not delete, just add your pipeline

david6666666 · 2026-01-04T09:37:58Z

-        "StableDiffusion3Pipeline",
-    ),
+    #UltraFlux
+    "FluxPipeline": (


rename UltraFluxPipeline

david6666666 · 2026-01-04T09:38:09Z

    od_config: OmniDiffusionConfig,
 ):
    model_class = DiffusionModelRegistry._try_load_model_cls(od_config.model_class_name)
+    print("DEBUG model_class =", model_class)


david6666666 · 2026-01-05T02:28:08Z

        "LongCatImagePipeline",
    ),
-    "BagelPipeline": (
+        "BagelPipeline": (


revert here

david6666666 · 2026-01-05T02:29:09Z

    # where mod_folder and mod_relname are  defined and mapped using `_DIFFUSION_MODELS` via the `arch` key
    "QwenImageEditPipeline": "get_qwen_image_edit_pre_process_func",
    "QwenImageEditPlusPipeline": "get_qwen_image_edit_plus_pre_process_func",
+    "QwenImageLayeredPipeline": "get_qwen_image_layered_pre_process_func",


remove this

erfgss · 2026-01-06T03:03:42Z

@SamitHuang

hsliuustc0106 · 2026-01-12T11:21:53Z

@@ -4,7 +4,7 @@
 import multiprocessing as mp


adding a model should not change diffusion_engine

hsliuustc0106 · 2026-01-12T11:25:08Z

@@ -31,6 +31,7 @@ th {
 |`LongcatImagePipeline` | LongCat-Image | `meituan-longcat/LongCat-Image` |


how about https://docs.vllm.ai/projects/vllm-omni/en/latest/user_guide/diffusion_acceleration/

hsliuustc0106 · 2026-01-12T11:26:13Z

        - "vllm_omni.entrypoints.async_diffusion"  # avoid importing vllm in mkdocs building
        - "vllm_omni.entrypoints.openai"  # avoid importing vllm in mkdocs building
        - "vllm_omni.entrypoints.openai.protocol"  # avoid importing vllm in mkdocs building
+        - "vllm_omni.entrypoints.omni"  # avoid importing vllm in mkdocs building


why we need to change this?

hsliuustc0106 · 2026-01-12T11:26:43Z


            # Summarize and print stats
            try:
+                import json as _json


why we need to change this? @Bounty-hunter PTAL

hsliuustc0106 · 2026-01-12T11:27:34Z

@@ -4,6 +4,7 @@
 from dataclasses import dataclass


this PR is designed for adding a model, you should not make any changes to these comment files

hsliuustc0106 · 2026-01-12T11:31:44Z

    def _initialize_stages(self, model: str, kwargs: dict[str, Any]) -> None:
        """Initialize stage list management."""
-        stage_init_timeout = kwargs.get("stage_init_timeout", 20)
+        # Diffusion/large models can take long to load; align default with CLI (300s)


you should not change this default value, you need to provide this in your cli

hsliuustc0106 · 2026-01-12T11:32:24Z

                pass
    logger.debug("Engine initialized")

+    # Check if stage engine supports profiling (via vLLM's built-in profiler)


why you need change omni_stage in the model support PR?

hsliuustc0106 · 2026-01-12T11:33:23Z

                }
            )

        return result


should not change in this PR

hsliuustc0106 · 2026-01-16T10:43:34Z

-        "StableDiffusion3Pipeline",
-    ),
+    #UltraFlux
+    "FluxPipeline": (


hsliuustc0106 · 2026-01-16T10:44:31Z

@@ -0,0 +1,931 @@
+# Copyright 2025 Black Forest Labs, The HuggingFace Team and The InstantX Team. All rights reserved.


add support to TP please check #735

hsliuustc0106 · 2026-01-16T10:45:03Z

@@ -33,7 +33,7 @@ th {
 |`LongCatImageEditPipeline` | LongCat-Image-Edit | `meituan-longcat/LongCat-Image-Edit` |


please also update diffusion acceleration md for cache dit support

hsliuustc0106 · 2026-01-16T10:46:13Z

@david6666666 can we not use benchmark serving under benchmarks folder for t2i jobs

david6666666 · 2026-01-19T02:55:54Z

Please make similar modifications based on the review comments in #809.

please use attention layer in vllm_omni/diffusion.
we have rope layer in vllm-omni.
Just import to reduce copying local functions from.
use from vllm.model_executor.layers.layernorm import RMSNorm
use from vllm.use from vllm.model_executor.layers.linear import QKVParallelLinear, ReplicatedLinear

erfgss · 2026-01-19T07:31:17Z

Please make similar modifications based on the review comments in #809.

please use attention layer in vllm_omni/diffusion.

we have rope layer in vllm-omni.

Just import to reduce copying local functions from.

use from vllm.model_executor.layers.layernorm import RMSNorm

use from vllm.use from vllm.model_executor.layers.linear import QKVParallelLinear, ReplicatedLinear

erfgss · 2026-01-19T07:37:34Z

Please make similar modifications based on the review comments in #809.

please use attention layer in vllm_omni/diffusion.

we have rope layer in vllm-omni.

Just import to reduce copying local functions from.

use from vllm.model_executor.layers.layernorm import RMSNorm

use from vllm.use from vllm.model_executor.layers.linear import QKVParallelLinear, ReplicatedLinear

david6666666 · 2026-02-04T02:59:07Z

Support SP(ulysses, ring)
Support TP
Support CFG parallel
validate Cache-DiT

lishunyang12

Thanks for the contribution — left a few comments inline on things I noticed.

lishunyang12 · 2026-02-22T01:39:16Z

-|`Qwen3TTSForConditionalGeneration` | Qwen3-TTS-12Hz-1.7B-VoiceDesign | `Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign` |
-|`Qwen3TTSForConditionalGeneration` | Qwen3-TTS-12Hz-1.7B-Base | `Qwen/Qwen3-TTS-12Hz-0.6B-Base` |
-
+|`UltraFluxPipeline` | UltraFlux-v1 | `Owen777/UltraFlux-v1` |


Looks like this diff might have accidentally removed the three Qwen3-TTS entries — probably a rebase artifact? The UltraFlux line should be added alongside them.

lishunyang12 · 2026-02-22T01:39:16Z

+        self.default_sample_size = 64
+
+        print(self.vae.config)
+        print(self.transformer.config)


A few debug print() calls here — might want to swap them for logger.debug() or remove before merging.

lishunyang12 · 2026-02-22T01:39:16Z

+            scheduler=scheduler,
+        )
+
+        self.vae_scale_factor = 32


Quick question — vae_scale_factor = 32 while standard Flux uses 16. Is 32 correct for UltraFlux, or a copy-paste from somewhere? If it's intentional, a brief comment explaining why would be helpful.

lishunyang12 · 2026-02-22T01:39:16Z

+def _get_fused_projections(attn: "FluxAttention", hidden_states, encoder_hidden_states=None):
+    query, key, value = attn.to_qkv(hidden_states).chunk(3, dim=-1)
+
+    encoder_query = encoder_key = encoder_value = (None,)


I think there might be a small issue here — (None,) creates a 1-tuple rather than assigning None to all three variables. This could cause problems downstream when calling .unflatten(...) on a tuple. Maybe:

encoder_query = encoder_key = encoder_value = None

lishunyang12 · 2026-02-22T01:39:16Z

+            mscale = torch.where(
+                scale <= 1.0, torch.tensor(1.0, device=scale.device, dtype=scale.dtype), 0.1 * torch.log(scale) + 1.0
+            )
+            mscale = torch.where(


Looks like this mscale computation is a duplicate of lines 612-614. Probably a copy-paste leftover — the second one could be removed.

lishunyang12 · 2026-02-22T01:39:16Z

+        self.added_kv_proj_dim = added_kv_proj_dim
+        self.added_proj_bias = added_proj_bias
+
+        self.norm_q = torch.nn.RMSNorm(dim_head, eps=eps, elementwise_affine=elementwise_affine)


I saw in the earlier review that the maintainer suggested using from vllm.model_executor.layers.layernorm import RMSNorm instead of torch.nn.RMSNorm. Looks like it still needs to be updated here and on lines 300, 311, 312.

lishunyang12 · 2026-02-22T01:39:16Z

+        for tok_name in ("tokenizer", "tokenizer_2"):
+            tok = getattr(self.pipe, tok_name, None)
+            if tok is not None and hasattr(tok, "model_max_length"):
+                tok.model_max_length = 512


Just wondering — hardcoding tok.model_max_length = 512 overrides whatever the tokenizer originally had. Would it make sense to read this from the model config instead?

lishunyang12 · 2026-02-22T01:39:16Z

-        "LongCatImagePipeline": enable_cache_for_longcat_image,
-        "LongCatImageEditPipeline": enable_cache_for_longcat_image,
+        "UltraFluxPipeline": enable_cache_for_ultraflux,
+        "LongcatImagePipeline": enable_cache_for_longcat_image,


The LongCatImagePipeline -> LongcatImagePipeline rename seems like a separate change. Might be worth mentioning in the PR description, or splitting it out if you prefer?

lishunyang12 · 2026-02-22T01:39:16Z

+        self.tokenizer_max_length = (
+            self.tokenizer.model_max_length if hasattr(self, "tokenizer") and self.tokenizer is not None else 77
+        )
+        self.default_sample_size = 64


With default_sample_size = 64 and vae_scale_factor = 32, the default resolution would be 2048x2048, but the test plan uses 4096x4096. Is 2048 the intended default?

Gaohan123 · 2026-03-18T02:36:18Z

@erfgss Hello, any updates?

erfgss · 2026-03-18T09:33:22Z

@erfgss Hello, any updates?

yes,i will update this pr

Signed-off-by: Chen Yang <[email protected]>

erfgss requested a review from hsliuustc0106 as a code owner January 4, 2026 09:29

chatgpt-codex-connector Bot reviewed Jan 4, 2026

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david6666666 mentioned this pull request Jan 5, 2026

[RFC]: DiT model and feature support enhancement #85

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hsliuustc0106 reviewed Jan 12, 2026

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erfgss force-pushed the feat/UltraFlux-v1-image branch from 560c1a1 to 448588b Compare January 13, 2026 08:54

david6666666 mentioned this pull request Jan 16, 2026

vLLM-Omni Model Support #808

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hsliuustc0106 reviewed Jan 16, 2026

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erfgss force-pushed the feat/UltraFlux-v1-image branch from 8fc9d02 to 67a48fb Compare January 19, 2026 03:18

erfgss requested a review from david6666666 January 19, 2026 08:18

lishunyang12 reviewed Feb 22, 2026

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add ultraflux support

36921b5

Signed-off-by: Chen Yang <[email protected]>

erfgss force-pushed the feat/UltraFlux-v1-image branch from 5e1bb37 to 36921b5 Compare March 27, 2026 07:41

erfgss added 2 commits March 27, 2026 17:25

add ultraflux support

944151a

Signed-off-by: Chen Yang <[email protected]>

fix pre-commit

33ef7bd

Signed-off-by: Chen Yang <[email protected]>

erfgss force-pushed the feat/UltraFlux-v1-image branch from dff2731 to 33ef7bd Compare March 30, 2026 01:45

erfgss and others added 4 commits March 30, 2026 10:08

Merge branch 'main' into feat/UltraFlux-v1-image

1a077d6

Merge branch 'main' into feat/UltraFlux-v1-image

9aad49c

Merge branch 'main' into feat/UltraFlux-v1-image

786d482

fix docs

c50f143

Signed-off-by: Chen Yang <[email protected]>

		@@ -31,6 +31,7 @@ th {
		\|`LongcatImagePipeline` \| LongCat-Image \| `meituan-longcat/LongCat-Image` \|

		@@ -0,0 +1,931 @@
		# Copyright 2025 Black Forest Labs, The HuggingFace Team and The InstantX Team. All rights reserved.

		@@ -33,7 +33,7 @@ th {
		\|`LongCatImageEditPipeline` \| LongCat-Image-Edit \| `meituan-longcat/LongCat-Image-Edit` \|

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