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[Partner Nodes] feat(TopazAI): add Bloom 2 and Wonder 3.5 models support (#15294)

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Signed-off-by: Alexander Piskun <bigcat88@icloud.com>
This commit is contained in:
Alexander Piskun
2026-08-04 22:51:09 +03:00
committed by Jedrzej Kosinski
parent 13e16c8d62
commit 9cefdf4ce3
2 changed files with 388 additions and 1 deletions
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35
comfy_api_nodes/apis/topaz.py
View File

@@ -20,6 +20,41 @@ class ImageEnhanceRequest(BaseModel):
color_preservation: str = Field("true", description="To preserve the original color") color_preservation: str = Field("true", description="To preserve the original color")
class ImageEnhanceRequestV2(BaseModel):
model: str = Field(...)
output_format: str = Field("png")
source_url: str = Field(...)
output_width: Optional[int] = Field(None)
output_height: Optional[int] = Field(None)
crop_to_fill: Optional[bool] = Field(None, description="Available for Reimagine only")
prompt: Optional[str] = Field(None, description="Available for Reimagine and Bloom 2")
creativity: Optional[int] = Field(None, description="From 1 to 9; available for Reimagine and Bloom 2")
subject_detection: Optional[str] = Field(None, description="Available for Reimagine only")
face_enhancement: Optional[bool] = Field(None, description="Available for Reimagine only")
face_enhancement_creativity: Optional[float] = Field(None, description="Is ignored if face_enhancement is false")
face_enhancement_strength: Optional[float] = Field(None, description="Is ignored if face_enhancement is false")
face_preservation: Optional[str] = Field(
None, description='String "true" or "false"; available for Reimagine only'
)
color_preservation: Optional[str] = Field(
None, description='String "true" or "false"; available for Reimagine and Bloom 2'
)
autoprompt: Optional[str] = Field(
None, description='String "true" or "false"; auto-generate a prompt, available for Bloom 2 only'
)
seed: Optional[int] = Field(None, description="Available for Bloom 2 only")
enhancement_strength: Optional[str] = Field(
None, description="low, medium or high; available for Wonder 3.5 only"
)
grain: Optional[str] = Field(
None, description='String "true" or "false"; available for Bloom 2 and Wonder 3.5'
)
grain_model: Optional[str] = Field(None, description="silver, gaussian or grey")
grain_strength: Optional[float] = Field(None, description="From 0 to 1")
grain_size: Optional[float] = Field(None, description="From 1 to 5")
grain_density: Optional[float] = Field(None, description="From 0 to 1")
class ImageAsyncTaskResponse(BaseModel): class ImageAsyncTaskResponse(BaseModel):
process_id: str = Field(...) process_id: str = Field(...)

354
comfy_api_nodes/nodes_topaz.py
View File

@@ -12,6 +12,7 @@ from comfy_api_nodes.apis.topaz import (
ImageAsyncTaskResponse, ImageAsyncTaskResponse,
ImageDownloadResponse, ImageDownloadResponse,
ImageEnhanceRequest, ImageEnhanceRequest,
ImageEnhanceRequestV2,
ImageStatusResponse, ImageStatusResponse,
OutputInformationVideo, OutputInformationVideo,
Resolution, Resolution,
@@ -51,7 +52,7 @@ class TopazImageEnhance(IO.ComfyNode):
def define_schema(cls): def define_schema(cls):
return IO.Schema( return IO.Schema(
node_id="TopazImageEnhance", node_id="TopazImageEnhance",
display_name="Topaz Image Enhance", display_name="Topaz Image Enhance (Legacy)",
category="partner/image/Topaz", category="partner/image/Topaz",
description="Industry-standard upscaling and image enhancement.", description="Industry-standard upscaling and image enhancement.",
inputs=[ inputs=[
@@ -162,6 +163,7 @@ class TopazImageEnhance(IO.ComfyNode):
IO.Hidden.unique_id, IO.Hidden.unique_id,
], ],
is_api_node=True, is_api_node=True,
is_deprecated=True,
) )
@classmethod @classmethod
@@ -229,6 +231,355 @@ class TopazImageEnhance(IO.ComfyNode):
return IO.NodeOutput(await download_url_to_image_tensor(results.download_url)) return IO.NodeOutput(await download_url_to_image_tensor(results.download_url))
class TopazImageEnhanceV2(IO.ComfyNode):
@classmethod
def define_schema(cls):
return IO.Schema(
node_id="TopazImageEnhanceV2",
display_name="Topaz Image Enhance",
category="partner/image/Topaz",
description="Industry-standard upscaling and image enhancement.",
inputs=[
IO.Image.Input("image"),
IO.DynamicCombo.Input(
"model",
options=[
IO.DynamicCombo.Option(
"Reimagine",
[
IO.String.Input(
"prompt",
multiline=True,
default="",
tooltip="Optional text prompt for creative upscaling guidance.",
),
IO.Int.Input(
"creativity",
default=3,
min=1,
max=9,
step=1,
display_mode=IO.NumberDisplay.slider,
),
IO.Combo.Input(
"subject_detection",
options=["All", "Foreground", "Background"],
advanced=True,
),
IO.Boolean.Input(
"face_enhancement",
default=True,
tooltip="Enhance faces (if present) during processing.",
advanced=True,
),
IO.Float.Input(
"face_enhancement_creativity",
default=0.0,
min=0.0,
max=1.0,
step=0.01,
display_mode=IO.NumberDisplay.number,
tooltip="Set the creativity level for face enhancement.",
advanced=True,
),
IO.Float.Input(
"face_enhancement_strength",
default=1.0,
min=0.0,
max=1.0,
step=0.01,
display_mode=IO.NumberDisplay.number,
tooltip="Controls how sharp enhanced faces are relative to the background.",
advanced=True,
),
IO.Boolean.Input(
"face_preservation",
default=True,
tooltip="Preserve subjects' facial identity.",
advanced=True,
),
IO.Boolean.Input(
"color_preservation",
default=True,
tooltip="Preserve the original colors.",
advanced=True,
),
IO.Boolean.Input(
"crop_to_fill",
default=False,
tooltip="By default, the image is letterboxed when the output aspect "
"ratio differs. Enable to crop the image to fill the output dimensions.",
advanced=True,
),
],
),
IO.DynamicCombo.Option(
"Bloom 2",
[
IO.String.Input(
"prompt",
multiline=True,
default="",
tooltip="Optional text prompt for generation. "
"Leave empty to auto-generate a prompt from the input image.",
),
IO.Int.Input(
"creativity",
default=3,
min=1,
max=9,
step=1,
display_mode=IO.NumberDisplay.slider,
tooltip="1 is restrained enhancement, 9 is pronounced reinterpretation "
"with newly generated detail.",
),
IO.Int.Input(
"seed",
default=2,
min=1,
max=2000,
control_after_generate=True,
tooltip="Seed for reproducible generation.",
),
IO.Boolean.Input(
"color_preservation",
default=True,
tooltip="Preserve the original colors.",
advanced=True,
),
IO.Boolean.Input(
"grain",
default=False,
tooltip="Add grain to the output image.",
advanced=True,
),
IO.Combo.Input(
"grain_model",
options=["silver", "gaussian", "grey"],
tooltip="Is ignored if grain is disabled.",
advanced=True,
),
IO.Float.Input(
"grain_strength",
default=0.5,
min=0.0,
max=1.0,
step=0.01,
display_mode=IO.NumberDisplay.number,
tooltip="Strength of the grain effect. Is ignored if grain is disabled.",
advanced=True,
),
IO.Float.Input(
"grain_size",
default=1.0,
min=1.0,
max=5.0,
step=0.1,
display_mode=IO.NumberDisplay.number,
tooltip="Size of the grain particles. Is ignored if grain is disabled.",
advanced=True,
),
IO.Float.Input(
"grain_density",
default=0.5,
min=0.0,
max=1.0,
step=0.01,
display_mode=IO.NumberDisplay.number,
tooltip="Intensity of the grain effect. Is ignored if grain is disabled.",
advanced=True,
),
],
),
IO.DynamicCombo.Option(
"Wonder 3.5",
[
IO.Combo.Input(
"enhancement_strength",
options=["low", "medium", "high"],
default="high",
tooltip="Enhancement level for varying input conditions.",
),
IO.Boolean.Input(
"grain",
default=False,
tooltip="Add grain to the output image.",
advanced=True,
),
IO.Combo.Input(
"grain_model",
options=["silver", "gaussian", "grey"],
tooltip="Is ignored if grain is disabled.",
advanced=True,
),
IO.Float.Input(
"grain_strength",
default=0.5,
min=0.0,
max=1.0,
step=0.01,
display_mode=IO.NumberDisplay.number,
tooltip="Strength of the grain effect. Is ignored if grain is disabled.",
advanced=True,
),
IO.Float.Input(
"grain_size",
default=1.0,
min=1.0,
max=5.0,
step=0.1,
display_mode=IO.NumberDisplay.number,
tooltip="Size of the grain particles. Is ignored if grain is disabled.",
advanced=True,
),
IO.Float.Input(
"grain_density",
default=0.5,
min=0.0,
max=1.0,
step=0.01,
display_mode=IO.NumberDisplay.number,
tooltip="Intensity of the grain effect. Is ignored if grain is disabled.",
advanced=True,
),
],
),
],
),
IO.Int.Input(
"output_width",
default=0,
min=0,
max=32000,
step=1,
display_mode=IO.NumberDisplay.number,
optional=True,
tooltip="Zero value means to calculate automatically (usually it will be original size "
"or scaled proportionally to output_height if specified). "
"Wonder 3.5 supports upscale factors from 1x to 6x only. "
"Bloom 2 and Wonder 3.5 preserve the input aspect ratio and treat the "
"requested size as a target.",
advanced=True,
),
IO.Int.Input(
"output_height",
default=0,
min=0,
max=32000,
step=1,
display_mode=IO.NumberDisplay.number,
optional=True,
tooltip="Zero value means to output in the same height as original or scaled "
"proportionally to output_width if specified. "
"Wonder 3.5 supports upscale factors from 1x to 6x only. "
"Bloom 2 and Wonder 3.5 preserve the input aspect ratio and treat the "
"requested size as a target.",
advanced=True,
),
],
outputs=[
IO.Image.Output(),
],
hidden=[
IO.Hidden.auth_token_comfy_org,
IO.Hidden.api_key_comfy_org,
IO.Hidden.unique_id,
],
is_api_node=True,
price_badge=IO.PriceBadge(
depends_on=IO.PriceBadgeDepends(widgets=["model"]),
expr="""
(
$usdPer8Mp := $lookup(
{"reimagine": 0.32, "bloom 2": 0.4576, "wonder 3.5": 0.1144},
$lookup(widgets, "model")
);
{"type":"usd","usd": $usdPer8Mp, "format": {"suffix": "/8MP", "approximate": true}}
)
""",
),
)
@classmethod
async def execute(
cls,
image: Input.Image,
model: dict,
output_width: int = 0,
output_height: int = 0,
) -> IO.NodeOutput:
if get_number_of_images(image) != 1:
raise ValueError("Only one input image is supported.")
model_choice = model["model"]
download_url = await upload_images_to_comfyapi(
cls, image, max_images=1, mime_type="image/png", total_pixels=4096 * 4096
)
request = ImageEnhanceRequestV2(
model=model_choice,
source_url=download_url[0],
output_width=output_width if output_width else None,
output_height=output_height if output_height else None,
)
if model_choice == "Reimagine":
request.prompt = model["prompt"]
request.creativity = model["creativity"]
request.subject_detection = model["subject_detection"]
request.face_enhancement = model["face_enhancement"]
request.face_enhancement_creativity = model["face_enhancement_creativity"]
request.face_enhancement_strength = model["face_enhancement_strength"]
request.face_preservation = str(model["face_preservation"]).lower()
request.color_preservation = str(model["color_preservation"]).lower()
request.crop_to_fill = model["crop_to_fill"]
elif model_choice == "Bloom 2":
prompt = model["prompt"].strip()
if prompt:
request.prompt = prompt
request.autoprompt = "false"
else:
request.autoprompt = "true"
request.creativity = model["creativity"]
request.seed = model["seed"]
request.color_preservation = str(model["color_preservation"]).lower()
if model["grain"]:
request.grain = "true"
request.grain_model = model["grain_model"]
request.grain_strength = model["grain_strength"]
request.grain_size = model["grain_size"]
request.grain_density = model["grain_density"]
else:
request.enhancement_strength = model["enhancement_strength"]
if model["grain"]:
request.grain = "true"
request.grain_model = model["grain_model"]
request.grain_strength = model["grain_strength"]
request.grain_size = model["grain_size"]
request.grain_density = model["grain_density"]
initial_response = await sync_op(
cls,
ApiEndpoint(path="/proxy/topaz/image/v1/enhance-gen/async", method="POST"),
response_model=ImageAsyncTaskResponse,
data=request,
content_type="multipart/form-data",
)
await poll_op(
cls,
poll_endpoint=ApiEndpoint(path=f"/proxy/topaz/image/v1/status/{initial_response.process_id}"),
response_model=ImageStatusResponse,
status_extractor=lambda x: x.status,
progress_extractor=lambda x: getattr(x, "progress", 0),
price_extractor=lambda x: x.credits * (0.08 if model_choice == "Reimagine" else 0.1144),
poll_interval=8.0,
estimated_duration=60,
)
results = await sync_op(
cls,
ApiEndpoint(path=f"/proxy/topaz/image/v1/download/{initial_response.process_id}"),
response_model=ImageDownloadResponse,
monitor_progress=False,
)
return IO.NodeOutput(await download_url_to_image_tensor(results.download_url))
class TopazVideoEnhance(IO.ComfyNode): class TopazVideoEnhance(IO.ComfyNode):
@classmethod @classmethod
def define_schema(cls): def define_schema(cls):
@@ -818,6 +1169,7 @@ class TopazExtension(ComfyExtension):
async def get_node_list(self) -> list[type[IO.ComfyNode]]: async def get_node_list(self) -> list[type[IO.ComfyNode]]:
return [ return [
TopazImageEnhance, TopazImageEnhance,
TopazImageEnhanceV2,
TopazVideoEnhance, TopazVideoEnhance,
TopazVideoEnhanceV2, TopazVideoEnhanceV2,
] ]