feat(api-nodes): add support for seedream-4.5 model

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bigcat88 2025-12-05 20:18:07 +02:00
parent 65cd8887cc
commit 5719b8238b
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@ -4,7 +4,7 @@ import math
import torch
from typing_extensions import override
from comfy_api.latest import IO, ComfyExtension
from comfy_api.latest import IO, ComfyExtension, Input
from comfy_api_nodes.apis.bytedance_api import (
RECOMMENDED_PRESETS,
RECOMMENDED_PRESETS_SEEDREAM_4,
@ -235,7 +235,7 @@ class ByteDanceImageEditNode(IO.ComfyNode):
async def execute(
cls,
model: str,
image: torch.Tensor,
image: Input.Image,
prompt: str,
seed: int,
guidance_scale: float,
@ -275,7 +275,7 @@ class ByteDanceSeedreamNode(IO.ComfyNode):
inputs=[
IO.Combo.Input(
"model",
options=["seedream-4-0-250828"],
options=["seedream-4-5-251128", "seedream-4-0-250828"],
tooltip="Model name",
),
IO.String.Input(
@ -300,7 +300,7 @@ class ByteDanceSeedreamNode(IO.ComfyNode):
default=2048,
min=1024,
max=4096,
step=64,
step=8,
tooltip="Custom width for image. Value is working only if `size_preset` is set to `Custom`",
optional=True,
),
@ -309,7 +309,7 @@ class ByteDanceSeedreamNode(IO.ComfyNode):
default=2048,
min=1024,
max=4096,
step=64,
step=8,
tooltip="Custom height for image. Value is working only if `size_preset` is set to `Custom`",
optional=True,
),
@ -373,7 +373,7 @@ class ByteDanceSeedreamNode(IO.ComfyNode):
cls,
model: str,
prompt: str,
image: torch.Tensor = None,
image: Input.Image | None = None,
size_preset: str = RECOMMENDED_PRESETS_SEEDREAM_4[0][0],
width: int = 2048,
height: int = 2048,
@ -396,6 +396,18 @@ class ByteDanceSeedreamNode(IO.ComfyNode):
raise ValueError(
f"Custom size out of range: {w}x{h}. " "Both width and height must be between 1024 and 4096 pixels."
)
out_num_pixels = w * h
mp_provided = out_num_pixels / 1_000_000.0
if "seedream-4-5" in model and out_num_pixels < 3686400:
raise ValueError(
f"Minimum image resolution that Seedream 4.5 can generate is 3.68MP, "
f"but {mp_provided:.2f}MP provided."
)
if "seedream-4-0" in model and out_num_pixels < 921600:
raise ValueError(
f"Minimum image resolution that the selected model can generate is 0.92MP, "
f"but {mp_provided:.2f}MP provided."
)
n_input_images = get_number_of_images(image) if image is not None else 0
if n_input_images > 10:
raise ValueError(f"Maximum of 10 reference images are supported, but {n_input_images} received.")
@ -626,7 +638,7 @@ class ByteDanceImageToVideoNode(IO.ComfyNode):
cls,
model: str,
prompt: str,
image: torch.Tensor,
image: Input.Image,
resolution: str,
aspect_ratio: str,
duration: int,
@ -748,8 +760,8 @@ class ByteDanceFirstLastFrameNode(IO.ComfyNode):
cls,
model: str,
prompt: str,
first_frame: torch.Tensor,
last_frame: torch.Tensor,
first_frame: Input.Image,
last_frame: Input.Image,
resolution: str,
aspect_ratio: str,
duration: int,
@ -871,7 +883,7 @@ class ByteDanceImageReferenceNode(IO.ComfyNode):
cls,
model: str,
prompt: str,
images: torch.Tensor,
images: Input.Image,
resolution: str,
aspect_ratio: str,
duration: int,