[Feat][HunyuanImage3] Stream AR text for IT2I image edits (#3723)

Signed-off-by: TaffyOfficial <2324465096@qq.com>
Co-authored-by: TaffyOfficial <2324465096@qq.com>
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TaffyOfficialandTaffyOfficial authored and GitHub committed 2026-05-27 12:27:11 +12:00
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@@ -13,7 +13,7 @@ For example...
```bash
# Qwen-Image
vllm serve Qwen/Qwen-Image-Edit-2511 --omni --port 8000
```
### Generate Images
@@ -92,7 +92,8 @@ Content-Type: multipart/form-data
| `user` | string | null | User identifier for tracking |
| `output_format` | string | "png" | The format in which the generated images are returned. Must be one of "png", "jpg", "jpeg", "webp". |
| `output_compression` | integer | 100 | The compression level (0-100%) for the generated images. |
| `background` | string or null | "auto" | Allows to set transparency for the background of the generated image(s).
| `background` | string or null | "auto" | Allows to set transparency for the background of the generated image(s). |
| `stream` | boolean | false | Return Server-Sent Events instead of a single JSON response. Currently supported only by multi-stage image edit pipelines that produce AR text before the final image, such as HunyuanImage3 IT2I AR+DiT. |
#### vllm-omni Extension Parameters
@@ -109,6 +110,8 @@ Content-Type: multipart/form-data
### Response Format
When `stream=false` or omitted, the endpoint returns the standard image edit response:
```json
{
"created": 1701234567,
@@ -120,10 +123,56 @@ Content-Type: multipart/form-data
}
],
"output_format": null,
"size": null,
"size": null
}
```
### Streaming Response Format
Set `stream=true` when you want to receive the HunyuanImage3 IT2I AR
recaption text before the final edited image is ready. Streaming is only
available for multi-stage image edit pipelines where stage 0 produces AR text
and a later diffusion stage produces the image. Single-stage diffusion image
edit pipelines reject `stream=true` with HTTP 400.
The response uses Server-Sent Events with `Content-Type: text/event-stream`.
Each event is sent as one `data:` line. The stream order is:
1. One or more AR text delta chunks.
2. One final image chunk.
3. `data: [DONE]`.
AR text chunks expose only the generated text delta and the AR completion
`index`. They do not expose token ids, ratio tokens, KV cache data, or internal
prompt token ids.
Example AR delta event:
```text
data: {"object":"image.edit.chunk","type":"ar_delta","delta":"A close-up product photo...","index":0,"created":1701234567,"model":"tencent/HunyuanImage-3.0-Instruct"}
```
Example final image event:
```text
data: {"object":"image.edit.chunk","type":"image","data":[{"b64_json":"<base64-encoded PNG>","url":null,"revised_prompt":null}],"output_format":"png","size":"1024x1024","created":1701234567,"model":"tencent/HunyuanImage-3.0-Instruct"}
```
Terminal event:
```text
data: [DONE]
```
If the engine fails after the SSE response has started, the stream emits an
error chunk followed by `[DONE]`:
```text
data: {"object":"error","created":1701234567,"model":"tencent/HunyuanImage-3.0-Instruct","error":{"message":"<error message>","type":"server_error","code":500}}
data: [DONE]
```
## Examples
### Multiple Images input
@@ -134,12 +183,28 @@ curl -s -D >(grep -i x-request-id >&2) \
-X POST "http://localhost:8000/v1/images/edits" \
-F "model=xxx" \
-F "image=@xx.png" \
-F "image=@xx.png"
-F "image=@xx.png" \
-F "prompt='this bear is wearing sportwear. holding a basketball, and bending one leg.'" \
-F "size=1024x1024" \
-F "output_format=png"
```
### Streaming HunyuanImage3 IT2I AR Text
```bash
curl -N -X POST "http://localhost:8000/v1/images/edits" \
-F "model=tencent/HunyuanImage-3.0-Instruct" \
-F "image=@./input.png" \
-F "prompt=Turn the product into a clean studio advertisement." \
-F "size=1024x1024" \
-F "output_format=png" \
-F "stream=true"
```
Use the `ar_delta` events for progressive display of the AR-generated
recaption. Decode the `b64_json` field from the final `image` event to get the
edited image.
## Parameter Handling