attempt to save grid mode metadata

api/onnx_web/chain/highres.py

@@ -53,7 +53,9 @@ def stage_highres(
                 stage,
                 method=highres.method,
                 overlap=params.vae_overlap,
-                upscale=upscale.with_args(scale=highres.scale, outscale=highres.scale, upscale=True),
+                upscale=upscale.with_args(
+                    scale=highres.scale, outscale=highres.scale, upscale=True
+                ),
             )
 
         chain.stage(

api/onnx_web/chain/persist_disk.py

@@ -31,8 +31,17 @@ class PersistDiskStage(BaseStage):
     ) -> StageResult:
         logger.info("persisting %s images to disk: %s", len(sources), output)
 
-        for source, name in zip(sources.as_image(), output):
+        for name, source, metadata in zip(output, sources.as_image(), sources.metadata):
-            dest = save_image(server, name, source, params=params, size=size)
+            dest = save_image(
+                server,
+                name,
+                source,
+                params=metadata.params,
+                size=metadata.size,
+                upscale=metadata.upscale,
+                border=metadata.border,
+                highres=metadata.highres,
+            )  # TODO: inversions and loras
             logger.info("saved image to %s", dest)
 
         return sources

api/onnx_web/chain/result.py

@@ -1,4 +1,4 @@
-from typing import List, Optional
+from typing import Any, List, Optional
 
 import numpy as np
 from PIL import Image
@@ -63,14 +63,20 @@ class StageResult:
     def from_images(images: List[Image.Image]):
         return StageResult(images=images)
 
-    def __init__(self, arrays=None, images=None) -> None:
+    def __init__(
-        if arrays is not None and images is not None:
+        self,
+        arrays: Optional[List[np.ndarray]] = None,
+        images: Optional[List[Image.Image]] = None,
+        source: Optional[Any] = None,
+    ) -> None:
+        if sum([arrays is not None, images is not None, source is not None]) > 1:
             raise ValueError("stages must only return one type of result")
-        elif arrays is None and images is None:
+        elif arrays is None and images is None and source is None:
             raise ValueError("stages must return results")
 
         self.arrays = arrays
         self.images = images
+        self.source = source
 
     def __len__(self) -> int:
         if self.arrays is not None:

api/onnx_web/chain/source_txt2img.py

@@ -18,7 +18,7 @@ from ..params import ImageParams, Size, SizeChart, StageParams
 from ..server import ServerContext
 from ..worker import ProgressCallback, WorkerContext
 from .base import BaseStage
-from .result import StageResult
+from .result import ImageMetadata, StageResult
 
 logger = getLogger(__name__)
 
@@ -115,7 +115,7 @@ class SourceTxt2ImgStage(BaseStage):
         if params.is_lpw():
             logger.debug("using LPW pipeline for txt2img")
             rng = torch.manual_seed(params.seed)
-            result = pipe.text2img(
+            output = pipe.text2img(
                 prompt,
                 height=latent_size.height,
                 width=latent_size.width,
@@ -141,7 +141,7 @@ class SourceTxt2ImgStage(BaseStage):
                 pipe.unet.set_prompts(prompt_embeds)
 
             rng = np.random.RandomState(params.seed)
-            result = pipe(
+            output = pipe(
                 prompt,
                 height=latent_size.height,
                 width=latent_size.width,
@@ -155,10 +155,12 @@ class SourceTxt2ImgStage(BaseStage):
                 callback=callback,
             )
 
-        outputs = sources.as_image()
+        result = StageResult(source=sources)
-        outputs.extend(result.images)
+        for image in output.images:
-        logger.debug("produced %s outputs", len(outputs))
+            result.push_image(image, ImageMetadata(params, size))
-        return StageResult(images=outputs)
+
+        logger.debug("produced %s outputs", len(result))
+        return result
 
     def steps(
         self,

api/onnx_web/diffusers/run.py

@@ -122,7 +122,9 @@ def run_txt2img_pipeline(
 
     # add a thumbnail, if requested
     cover = images[0]
-    if params.thumbnail and (cover.width > server.thumbnail_size or cover.height > server.thumbnail_size):
+    if params.thumbnail and (
+        cover.width > server.thumbnail_size or cover.height > server.thumbnail_size
+    ):
         thumbnail = cover.copy()
         thumbnail.thumbnail((server.thumbnail_size, server.thumbnail_size))
 

api/onnx_web/server/context.py

@@ -133,7 +133,7 @@ class ServerContext:
             debug=get_boolean(env, "ONNX_WEB_DEBUG", False),
             thumbnail_size=int(
                 env.get("ONNX_WEB_THUMBNAIL_SIZE", DEFAULT_THUMBNAIL_SIZE)
-            )
+            ),
         )
 
     def get_setting(self, flag: str, default: str) -> Optional[str]: