fix(api): use stage source when available

api/onnx_web/chain/blend_img2img.py

@@ -20,9 +20,11 @@ def blend_img2img(
     source: Image.Image,
     *,
     callback: ProgressCallback = None,
+    stage_source: Image.Image,
     **kwargs,
 ) -> Image.Image:
     params = params.with_args(**kwargs)
+    source = stage_source or source
     logger.info(
         "blending image using img2img, %s steps: %s", params.steps, params.prompt
     )

api/onnx_web/chain/blend_inpaint.py

@@ -25,7 +25,8 @@ def blend_inpaint(
     source: Image.Image,
     *,
     expand: Border,
-    mask: Optional[Image.Image] = None,
+    stage_source: Optional[Image.Image] = None,
+    stage_mask: Optional[Image.Image] = None,
     fill_color: str = "white",
     mask_filter: Callable = mask_filter_none,
     noise_source: Callable = noise_source_histogram,
@@ -34,17 +35,18 @@ def blend_inpaint(
 ) -> Image.Image:
     params = params.with_args(**kwargs)
     expand = expand.with_args(**kwargs)
+    source = source or stage_source
     logger.info(
         "blending image using inpaint, %s steps: %s", params.steps, params.prompt
     )
 
-    if mask is None:
+    if stage_mask is None:
         # if no mask was provided, keep the full source image
-        mask = Image.new("RGB", source.size, "black")
+        stage_mask = Image.new("RGB", source.size, "black")
 
-    source, mask, noise, _full_dims = expand_image(
+    source, stage_mask, noise, _full_dims = expand_image(
         source,
-        mask,
+        stage_mask,
         expand,
         fill=fill_color,
         noise_source=noise_source,
@@ -53,13 +55,13 @@ def blend_inpaint(
 
     if is_debug():
         save_image(server, "last-source.png", source)
-        save_image(server, "last-mask.png", mask)
+        save_image(server, "last-mask.png", stage_mask)
         save_image(server, "last-noise.png", noise)
 
     def outpaint(tile_source: Image.Image, dims: Tuple[int, int, int]):
         left, top, tile = dims
         size = Size(*tile_source.size)
-        tile_mask = mask.crop((left, top, left + tile, top + tile))
+        tile_mask = stage_mask.crop((left, top, left + tile, top + tile))
 
         if is_debug():
             save_image(server, "tile-source.png", tile_source)
@@ -100,7 +102,7 @@ def blend_inpaint(
                 height=size.height,
                 image=tile_source,
                 latents=latents,
-                mask_image=mask,
+                mask_image=stage_mask,
                 negative_prompt=params.negative_prompt,
                 num_inference_steps=params.steps,
                 width=size.width,

api/onnx_web/chain/blend_mask.py

@@ -20,18 +20,18 @@ def blend_mask(
     _params: ImageParams,
     *,
     sources: Optional[List[Image.Image]] = None,
-    mask: Optional[Image.Image] = None,
+    stage_mask: Optional[Image.Image] = None,
     _callback: ProgressCallback = None,
     **kwargs,
 ) -> Image.Image:
     logger.info("blending image using mask")
 
-    mult_mask = Image.new("RGBA", mask.size, color="black")
+    mult_mask = Image.new("RGBA", stage_mask.size, color="black")
-    mult_mask.alpha_composite(mask)
+    mult_mask.alpha_composite(stage_mask)
     mult_mask = mult_mask.convert("L")
 
     if is_debug():
-        save_image(server, "last-mask.png", mask)
+        save_image(server, "last-mask.png", stage_mask)
         save_image(server, "last-mult-mask.png", mult_mask)
 
     resized = [

api/onnx_web/chain/correct_codeformer.py

@@ -24,8 +24,10 @@ def correct_codeformer(
     # must be within the load function for patch to take effect
     from codeformer import CodeFormer
 
+    source = stage_source or source
+
     upscale = upscale.with_args(**kwargs)
 
     device = job.get_device()
     pipe = CodeFormer(upscale=upscale.face_outscale).to(device.torch_str())
-    return pipe(stage_source or source)
+    return pipe(source)

api/onnx_web/chain/correct_gfpgan.py

@@ -53,9 +53,11 @@ def correct_gfpgan(
     source: Image.Image,
     *,
     upscale: UpscaleParams,
+    stage_source: Image.Image,
     **kwargs,
 ) -> Image.Image:
     upscale = upscale.with_args(**kwargs)
+    source = stage_source or source
 
     if upscale.correction_model is None:
         logger.warn("no face model given, skipping")

api/onnx_web/chain/persist_disk.py

@@ -17,8 +17,11 @@ def persist_disk(
     source: Image.Image,
     *,
     output: str,
+    stage_source: Image.Image,
     **kwargs,
 ) -> Image.Image:
+    source = stage_source or source
+
     dest = save_image(server, output, source)
     logger.info("saved image to %s", dest)
     return source

api/onnx_web/chain/persist_s3.py

@@ -21,8 +21,11 @@ def persist_s3(
     bucket: str,
     endpoint_url: str = None,
     profile_name: str = None,
+    stage_source: Image.Image = None,
     **kwargs,
 ) -> Image.Image:
+    source = stage_source or source
+
     session = Session(profile_name=profile_name)
     s3 = session.client("s3", endpoint_url=endpoint_url)
 

api/onnx_web/chain/reduce_crop.py

@@ -17,8 +17,11 @@ def reduce_crop(
     *,
     origin: Size,
     size: Size,
+    stage_source: Image.Image = None,
     **kwargs,
 ) -> Image.Image:
+    source = stage_source or source
+
     image = source.crop((origin.width, origin.height, size.width, size.height))
     logger.info("created thumbnail with dimensions: %sx%s", image.width, image.height)
     return image

api/onnx_web/chain/reduce_thumbnail.py

@@ -16,8 +16,10 @@ def reduce_thumbnail(
     source: Image.Image,
     *,
     size: Size,
+    stage_source: Image.Image,
     **kwargs,
 ) -> Image.Image:
+    source = stage_source or source
     image = source.copy()
 
     # TODO: should use a call to valid_image

api/onnx_web/chain/source_noise.py

@@ -18,8 +18,10 @@ def source_noise(
     *,
     size: Size,
     noise_source: Callable,
+    stage_source: Image.Image,
     **kwargs,
 ) -> Image.Image:
+    source = stage_source or source
     logger.info("generating image from noise source")
 
     if source is not None:

api/onnx_web/chain/source_txt2img.py

@@ -17,7 +17,7 @@ def source_txt2img(
     server: ServerContext,
     _stage: StageParams,
     params: ImageParams,
-    source: Image.Image,
+    _source: Image.Image,
     *,
     size: Size,
     callback: ProgressCallback = None,
@@ -29,7 +29,7 @@ def source_txt2img(
         "generating image using txt2img, %s steps: %s", params.steps, params.prompt
     )
 
-    if source is not None:
+    if "stage_source" in kwargs:
         logger.warn(
             "a source image was passed to a txt2img stage, but will be discarded"
         )

api/onnx_web/chain/upscale_outpaint.py

@@ -1,5 +1,5 @@
 from logging import getLogger
-from typing import Callable, Tuple
+from typing import Callable, Optional, Tuple
 
 import numpy as np
 import torch
@@ -25,47 +25,47 @@ def upscale_outpaint(
     source: Image.Image,
     *,
     border: Border,
-    prompt: str = None,
+    stage_source: Optional[Image.Image] = None,
-    mask: Image.Image = None,
+    stage_mask: Optional[Image.Image] = None,
     fill_color: str = "white",
     mask_filter: Callable = mask_filter_none,
     noise_source: Callable = noise_source_histogram,
     callback: ProgressCallback = None,
     **kwargs,
 ) -> Image.Image:
-    prompt = prompt or params.prompt
+    source = stage_source or source
     logger.info("upscaling image by expanding borders: %s", border)
 
     margin_x = float(max(border.left, border.right))
     margin_y = float(max(border.top, border.bottom))
     overlap = min(margin_x / source.width, margin_y / source.height)
 
-    if mask is None:
+    if stage_mask is None:
         # if no mask was provided, keep the full source image
-        mask = Image.new("RGB", source.size, "black")
+        stage_mask = Image.new("RGB", source.size, "black")
 
-    source, mask, noise, full_dims = expand_image(
+    source, stage_mask, noise, full_dims = expand_image(
         source,
-        mask,
+        stage_mask,
         border,
         fill=fill_color,
         noise_source=noise_source,
         mask_filter=mask_filter,
     )
 
-    draw_mask = ImageDraw.Draw(mask)
+    draw_mask = ImageDraw.Draw(stage_mask)
     full_size = Size(*full_dims)
     full_latents = get_latents_from_seed(params.seed, full_size)
 
     if is_debug():
         save_image(server, "last-source.png", source)
-        save_image(server, "last-mask.png", mask)
+        save_image(server, "last-mask.png", stage_mask)
         save_image(server, "last-noise.png", noise)
 
     def outpaint(tile_source: Image.Image, dims: Tuple[int, int, int]):
         left, top, tile = dims
         size = Size(*tile_source.size)
-        tile_mask = mask.crop((left, top, left + tile, top + tile))
+        tile_mask = stage_mask.crop((left, top, left + tile, top + tile))
 
         if is_debug():
             save_image(server, "tile-source.png", tile_source)
@@ -86,7 +86,7 @@ def upscale_outpaint(
             result = pipe.inpaint(
                 tile_source,
                 tile_mask,
-                prompt,
+                params.prompt,
                 generator=rng,
                 guidance_scale=params.cfg,
                 height=size.height,
@@ -99,7 +99,7 @@ def upscale_outpaint(
         else:
             rng = np.random.RandomState(params.seed)
             result = pipe(
-                prompt,
+                params.prompt,
                 tile_source,
                 generator=rng,
                 guidance_scale=params.cfg,

api/onnx_web/chain/upscale_resrgan.py

@@ -103,8 +103,10 @@ def upscale_resrgan(
     source: Image.Image,
     *,
     upscale: UpscaleParams,
+    stage_source: Image.Image = None,
     **kwargs,
 ) -> Image.Image:
+    source = stage_source or source
     logger.info("upscaling image with Real ESRGAN: x%s", upscale.scale)
 
     output = np.array(source)

api/onnx_web/chain/upscale_stable_diffusion.py

@@ -69,11 +69,13 @@ def upscale_stable_diffusion(
     source: Image.Image,
     *,
     upscale: UpscaleParams,
+    stage_source: Image.Image = None,
     callback: ProgressCallback = None,
     **kwargs,
 ) -> Image.Image:
     params = params.with_args(**kwargs)
     upscale = upscale.with_args(**kwargs)
+    source = stage_source or source
     logger.info(
         "upscaling with Stable Diffusion, %s steps: %s", params.steps, params.prompt
     )

api/onnx_web/diffusion/run.py

@@ -188,7 +188,7 @@ def run_inpaint_pipeline(
         params,
         source,
         border=border,
-        mask=mask,
+        stage_mask=mask,
         fill_color=fill_color,
         mask_filter=mask_filter,
         noise_source=noise_source,
@@ -255,7 +255,7 @@ def run_blend_pipeline(
         stage,
         params,
         sources=sources,
-        mask=mask,
+        stage_mask=mask,
         callback=progress,
     )
     image = image.convert("RGB")