Skip to content

[pull] master from Comfy-Org:master #697

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
pull merged 2 commits into from
Mar 20, 2026
Merged

[pull] master from Comfy-Org:master #697

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
c646d21
feat(api-nodes): add Quiver SVG nodes (#13047)
bigcat88 Mar 20, 2026
45d5c83
Make EmptyImage node follow intermediate device/dtype. (#13079)
comfyanonymous Mar 20, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
43 changes: 43 additions & 0 deletions comfy_api_nodes/apis/quiver.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,43 @@
from pydantic import BaseModel, Field


class QuiverImageObject(BaseModel):
url: str = Field(...)


class QuiverTextToSVGRequest(BaseModel):
model: str = Field(default="arrow-preview")
prompt: str = Field(...)
instructions: str | None = Field(default=None)
references: list[QuiverImageObject] | None = Field(default=None, max_length=4)
temperature: float | None = Field(default=None, ge=0, le=2)
top_p: float | None = Field(default=None, ge=0, le=1)
presence_penalty: float | None = Field(default=None, ge=-2, le=2)


class QuiverImageToSVGRequest(BaseModel):
model: str = Field(default="arrow-preview")
image: QuiverImageObject = Field(...)
auto_crop: bool | None = Field(default=None)
target_size: int | None = Field(default=None, ge=128, le=4096)
temperature: float | None = Field(default=None, ge=0, le=2)
top_p: float | None = Field(default=None, ge=0, le=1)
presence_penalty: float | None = Field(default=None, ge=-2, le=2)


class QuiverSVGResponseItem(BaseModel):
svg: str = Field(...)
mime_type: str | None = Field(default="image/svg+xml")


class QuiverSVGUsage(BaseModel):
total_tokens: int | None = Field(default=None)
input_tokens: int | None = Field(default=None)
output_tokens: int | None = Field(default=None)


class QuiverSVGResponse(BaseModel):
id: str | None = Field(default=None)
created: int | None = Field(default=None)
data: list[QuiverSVGResponseItem] = Field(...)
usage: QuiverSVGUsage | None = Field(default=None)
291 changes: 291 additions & 0 deletions comfy_api_nodes/nodes_quiver.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,291 @@
from io import BytesIO

from typing_extensions import override

from comfy_api.latest import IO, ComfyExtension
from comfy_api_nodes.apis.quiver import (
QuiverImageObject,
QuiverImageToSVGRequest,
QuiverSVGResponse,
QuiverTextToSVGRequest,
)
from comfy_api_nodes.util import (
ApiEndpoint,
sync_op,
upload_image_to_comfyapi,
validate_string,
)
from comfy_extras.nodes_images import SVG


class QuiverTextToSVGNode(IO.ComfyNode):
@classmethod
def define_schema(cls):
return IO.Schema(
node_id="QuiverTextToSVGNode",
display_name="Quiver Text to SVG",
category="api node/image/Quiver",
description="Generate an SVG from a text prompt using Quiver AI.",
inputs=[
IO.String.Input(
"prompt",
multiline=True,
default="",
tooltip="Text description of the desired SVG output.",
),
IO.String.Input(
"instructions",
multiline=True,
default="",
tooltip="Additional style or formatting guidance.",
optional=True,
),
IO.Autogrow.Input(
"reference_images",
template=IO.Autogrow.TemplatePrefix(
IO.Image.Input("image"),
prefix="ref_",
min=0,
max=4,
),
tooltip="Up to 4 reference images to guide the generation.",
optional=True,
),
IO.DynamicCombo.Input(
"model",
options=[
IO.DynamicCombo.Option(
"arrow-preview",
[
IO.Float.Input(
"temperature",
default=1.0,
min=0.0,
max=2.0,
step=0.1,
display_mode=IO.NumberDisplay.slider,
tooltip="Randomness control. Higher values increase randomness.",
advanced=True,
),
IO.Float.Input(
"top_p",
default=1.0,
min=0.05,
max=1.0,
step=0.05,
display_mode=IO.NumberDisplay.slider,
tooltip="Nucleus sampling parameter.",
advanced=True,
),
IO.Float.Input(
"presence_penalty",
default=0.0,
min=-2.0,
max=2.0,
step=0.1,
display_mode=IO.NumberDisplay.slider,
tooltip="Token presence penalty.",
advanced=True,
),
],
),
],
tooltip="Model to use for SVG generation.",
),
IO.Int.Input(
"seed",
default=0,
min=0,
max=2147483647,
control_after_generate=True,
tooltip="Seed to determine if node should re-run; "
"actual results are nondeterministic regardless of seed.",
),
],
outputs=[
IO.SVG.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(
expr="""{"type":"usd","usd":0.429}""",
),
)

@classmethod
async def execute(
cls,
prompt: str,
model: dict,
seed: int,
instructions: str = None,
reference_images: IO.Autogrow.Type = None,
) -> IO.NodeOutput:
validate_string(prompt, strip_whitespace=False, min_length=1)

references = None
if reference_images:
references = []
for key in reference_images:
url = await upload_image_to_comfyapi(cls, reference_images[key])
references.append(QuiverImageObject(url=url))
if len(references) > 4:
raise ValueError("Maximum 4 reference images are allowed.")

instructions_val = instructions.strip() if instructions else None
if instructions_val == "":
instructions_val = None

response = await sync_op(
cls,
ApiEndpoint(path="/proxy/quiver/v1/svgs/generations", method="POST"),
response_model=QuiverSVGResponse,
data=QuiverTextToSVGRequest(
model=model["model"],
prompt=prompt,
instructions=instructions_val,
references=references,
temperature=model.get("temperature"),
top_p=model.get("top_p"),
presence_penalty=model.get("presence_penalty"),
),
)

svg_data = [BytesIO(item.svg.encode("utf-8")) for item in response.data]
return IO.NodeOutput(SVG(svg_data))


class QuiverImageToSVGNode(IO.ComfyNode):
@classmethod
def define_schema(cls):
return IO.Schema(
node_id="QuiverImageToSVGNode",
display_name="Quiver Image to SVG",
category="api node/image/Quiver",
description="Vectorize a raster image into SVG using Quiver AI.",
inputs=[
IO.Image.Input(
"image",
tooltip="Input image to vectorize.",
),
IO.Boolean.Input(
"auto_crop",
default=False,
tooltip="Automatically crop to the dominant subject.",
),
IO.DynamicCombo.Input(
"model",
options=[
IO.DynamicCombo.Option(
"arrow-preview",
[
IO.Int.Input(
"target_size",
default=1024,
min=128,
max=4096,
tooltip="Square resize target in pixels.",
),
IO.Float.Input(
"temperature",
default=1.0,
min=0.0,
max=2.0,
step=0.1,
display_mode=IO.NumberDisplay.slider,
tooltip="Randomness control. Higher values increase randomness.",
advanced=True,
),
IO.Float.Input(
"top_p",
default=1.0,
min=0.05,
max=1.0,
step=0.05,
display_mode=IO.NumberDisplay.slider,
tooltip="Nucleus sampling parameter.",
advanced=True,
),
IO.Float.Input(
"presence_penalty",
default=0.0,
min=-2.0,
max=2.0,
step=0.1,
display_mode=IO.NumberDisplay.slider,
tooltip="Token presence penalty.",
advanced=True,
),
],
),
],
tooltip="Model to use for SVG vectorization.",
),
IO.Int.Input(
"seed",
default=0,
min=0,
max=2147483647,
control_after_generate=True,
tooltip="Seed to determine if node should re-run; "
"actual results are nondeterministic regardless of seed.",
),
],
outputs=[
IO.SVG.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(
expr="""{"type":"usd","usd":0.429}""",
),
)

@classmethod
async def execute(
cls,
image,
auto_crop: bool,
model: dict,
seed: int,
) -> IO.NodeOutput:
image_url = await upload_image_to_comfyapi(cls, image)

response = await sync_op(
cls,
ApiEndpoint(path="/proxy/quiver/v1/svgs/vectorizations", method="POST"),
response_model=QuiverSVGResponse,
data=QuiverImageToSVGRequest(
model=model["model"],
image=QuiverImageObject(url=image_url),
auto_crop=auto_crop if auto_crop else None,
target_size=model.get("target_size"),
temperature=model.get("temperature"),
top_p=model.get("top_p"),
presence_penalty=model.get("presence_penalty"),
),
)

svg_data = [BytesIO(item.svg.encode("utf-8")) for item in response.data]
return IO.NodeOutput(SVG(svg_data))


class QuiverExtension(ComfyExtension):
@override
async def get_node_list(self) -> list[type[IO.ComfyNode]]:
return [
QuiverTextToSVGNode,
QuiverImageToSVGNode,
]


async def comfy_entrypoint() -> QuiverExtension:
return QuiverExtension()
8 changes: 5 additions & 3 deletions nodes.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1966,9 +1966,11 @@ def INPUT_TYPES(s):
CATEGORY = "image"

def generate(self, width, height, batch_size=1, color=0):
r = torch.full([batch_size, height, width, 1], ((color >> 16) & 0xFF) / 0xFF)
g = torch.full([batch_size, height, width, 1], ((color >> 8) & 0xFF) / 0xFF)
b = torch.full([batch_size, height, width, 1], ((color) & 0xFF) / 0xFF)
dtype = comfy.model_management.intermediate_dtype()
device = comfy.model_management.intermediate_device()
r = torch.full([batch_size, height, width, 1], ((color >> 16) & 0xFF) / 0xFF, device=device, dtype=dtype)
g = torch.full([batch_size, height, width, 1], ((color >> 8) & 0xFF) / 0xFF, device=device, dtype=dtype)
b = torch.full([batch_size, height, width, 1], ((color) & 0xFF) / 0xFF, device=device, dtype=dtype)
return (torch.cat((r, g, b), dim=-1), )

class ImagePadForOutpaint:
Expand Down
Loading