Compare commits

..

8 Commits

Author SHA1 Message Date
c6e15cb366 Revert "Fix some fp8 scaled checkpoints no longer working. (#13239)"
This reverts commit 4504ee718a.
2026-04-03 03:09:58 -04:00
6aba6bd435 ComfyUI version 0.18.4 2026-04-03 03:06:35 -04:00
dedec11116 Update template to 0.9.43 (#13265) 2026-04-03 03:04:35 -04:00
b818eacb0b feat(api-nodes): new Partner nodes for Wan2.7 (#13264)
Signed-off-by: bigcat88 <bigcat88@icloud.com>
2026-04-03 03:03:57 -04:00
4504ee718a Fix some fp8 scaled checkpoints no longer working. (#13239) 2026-04-03 03:03:50 -04:00
94ab69f609 Fix/tweak pinned memory accounting (#13221)
* mm: Lower windows pin threshold

Some workflows have more extranous use of shared GPU memory than is
accounted for in the 5% pin headroom. Lower this for safety.

* mm: Remove pin count clearing threshold.

TOTAL_PINNED_MEMORY is shared between the legacy and aimdo pinning
systems, however this catch-all assumes only the legacy system exists.
Remove the catch-all as the PINNED_MEMORY buffer is coherent already.
2026-04-03 03:03:42 -04:00
173e1aa2df chore: update workflow templates to v0.9.38 (#13176) 2026-03-26 16:02:18 -04:00
bbc8977597 feat(api-nodes): added new Topaz model (#13175)
Signed-off-by: bigcat88 <bigcat88@icloud.com>
2026-03-26 16:01:16 -04:00
7 changed files with 1095 additions and 155 deletions

View File

@ -1325,9 +1325,9 @@ MAX_PINNED_MEMORY = -1
if not args.disable_pinned_memory:
if is_nvidia() or is_amd():
if WINDOWS:
MAX_PINNED_MEMORY = get_total_memory(torch.device("cpu")) * 0.45 # Windows limit is apparently 50%
MAX_PINNED_MEMORY = get_total_memory(torch.device("cpu")) * 0.40 # Windows limit is apparently 50%
else:
MAX_PINNED_MEMORY = get_total_memory(torch.device("cpu")) * 0.95
MAX_PINNED_MEMORY = get_total_memory(torch.device("cpu")) * 0.90
logging.info("Enabled pinned memory {}".format(MAX_PINNED_MEMORY // (1024 * 1024)))
PINNING_ALLOWED_TYPES = set(["Tensor", "Parameter", "QuantizedTensor"])
@ -1402,8 +1402,6 @@ def unpin_memory(tensor):
if torch.cuda.cudart().cudaHostUnregister(ptr) == 0:
TOTAL_PINNED_MEMORY -= PINNED_MEMORY.pop(ptr)
if len(PINNED_MEMORY) == 0:
TOTAL_PINNED_MEMORY = 0
return True
else:
logging.warning("Unpin error.")

226
comfy_api_nodes/apis/wan.py Normal file
View File

@ -0,0 +1,226 @@
from pydantic import BaseModel, Field
class Text2ImageInputField(BaseModel):
prompt: str = Field(...)
negative_prompt: str | None = Field(None)
class Image2ImageInputField(BaseModel):
prompt: str = Field(...)
negative_prompt: str | None = Field(None)
images: list[str] = Field(..., min_length=1, max_length=2)
class Text2VideoInputField(BaseModel):
prompt: str = Field(...)
negative_prompt: str | None = Field(None)
audio_url: str | None = Field(None)
class Image2VideoInputField(BaseModel):
prompt: str = Field(...)
negative_prompt: str | None = Field(None)
img_url: str = Field(...)
audio_url: str | None = Field(None)
class Reference2VideoInputField(BaseModel):
prompt: str = Field(...)
negative_prompt: str | None = Field(None)
reference_video_urls: list[str] = Field(...)
class Txt2ImageParametersField(BaseModel):
size: str = Field(...)
n: int = Field(1, description="Number of images to generate.") # we support only value=1
seed: int = Field(..., ge=0, le=2147483647)
prompt_extend: bool = Field(True)
watermark: bool = Field(False)
class Image2ImageParametersField(BaseModel):
size: str | None = Field(None)
n: int = Field(1, description="Number of images to generate.") # we support only value=1
seed: int = Field(..., ge=0, le=2147483647)
watermark: bool = Field(False)
class Text2VideoParametersField(BaseModel):
size: str = Field(...)
seed: int = Field(..., ge=0, le=2147483647)
duration: int = Field(5, ge=5, le=15)
prompt_extend: bool = Field(True)
watermark: bool = Field(False)
audio: bool = Field(False, description="Whether to generate audio automatically.")
shot_type: str = Field("single")
class Image2VideoParametersField(BaseModel):
resolution: str = Field(...)
seed: int = Field(..., ge=0, le=2147483647)
duration: int = Field(5, ge=5, le=15)
prompt_extend: bool = Field(True)
watermark: bool = Field(False)
audio: bool = Field(False, description="Whether to generate audio automatically.")
shot_type: str = Field("single")
class Reference2VideoParametersField(BaseModel):
size: str = Field(...)
duration: int = Field(5, ge=5, le=15)
shot_type: str = Field("single")
seed: int = Field(..., ge=0, le=2147483647)
watermark: bool = Field(False)
class Text2ImageTaskCreationRequest(BaseModel):
model: str = Field(...)
input: Text2ImageInputField = Field(...)
parameters: Txt2ImageParametersField = Field(...)
class Image2ImageTaskCreationRequest(BaseModel):
model: str = Field(...)
input: Image2ImageInputField = Field(...)
parameters: Image2ImageParametersField = Field(...)
class Text2VideoTaskCreationRequest(BaseModel):
model: str = Field(...)
input: Text2VideoInputField = Field(...)
parameters: Text2VideoParametersField = Field(...)
class Image2VideoTaskCreationRequest(BaseModel):
model: str = Field(...)
input: Image2VideoInputField = Field(...)
parameters: Image2VideoParametersField = Field(...)
class Reference2VideoTaskCreationRequest(BaseModel):
model: str = Field(...)
input: Reference2VideoInputField = Field(...)
parameters: Reference2VideoParametersField = Field(...)
class Wan27MediaItem(BaseModel):
type: str = Field(...)
url: str = Field(...)
class Wan27ReferenceVideoInputField(BaseModel):
prompt: str = Field(...)
negative_prompt: str | None = Field(None)
media: list[Wan27MediaItem] = Field(...)
class Wan27ReferenceVideoParametersField(BaseModel):
resolution: str = Field(...)
ratio: str | None = Field(None)
duration: int = Field(5, ge=2, le=10)
watermark: bool = Field(False)
seed: int = Field(..., ge=0, le=2147483647)
class Wan27ReferenceVideoTaskCreationRequest(BaseModel):
model: str = Field(...)
input: Wan27ReferenceVideoInputField = Field(...)
parameters: Wan27ReferenceVideoParametersField = Field(...)
class Wan27ImageToVideoInputField(BaseModel):
prompt: str | None = Field(None)
negative_prompt: str | None = Field(None)
media: list[Wan27MediaItem] = Field(...)
class Wan27ImageToVideoParametersField(BaseModel):
resolution: str = Field(...)
duration: int = Field(5, ge=2, le=15)
prompt_extend: bool = Field(True)
watermark: bool = Field(False)
seed: int = Field(..., ge=0, le=2147483647)
class Wan27ImageToVideoTaskCreationRequest(BaseModel):
model: str = Field(...)
input: Wan27ImageToVideoInputField = Field(...)
parameters: Wan27ImageToVideoParametersField = Field(...)
class Wan27VideoEditInputField(BaseModel):
prompt: str = Field(...)
media: list[Wan27MediaItem] = Field(...)
class Wan27VideoEditParametersField(BaseModel):
resolution: str = Field(...)
ratio: str | None = Field(None)
duration: int = Field(0)
audio_setting: str = Field("auto")
watermark: bool = Field(False)
seed: int = Field(..., ge=0, le=2147483647)
class Wan27VideoEditTaskCreationRequest(BaseModel):
model: str = Field(...)
input: Wan27VideoEditInputField = Field(...)
parameters: Wan27VideoEditParametersField = Field(...)
class Wan27Text2VideoParametersField(BaseModel):
resolution: str = Field(...)
ratio: str | None = Field(None)
duration: int = Field(5, ge=2, le=15)
prompt_extend: bool = Field(True)
watermark: bool = Field(False)
seed: int = Field(..., ge=0, le=2147483647)
class Wan27Text2VideoTaskCreationRequest(BaseModel):
model: str = Field(...)
input: Text2VideoInputField = Field(...)
parameters: Wan27Text2VideoParametersField = Field(...)
class TaskCreationOutputField(BaseModel):
task_id: str = Field(...)
task_status: str = Field(...)
class TaskCreationResponse(BaseModel):
output: TaskCreationOutputField | None = Field(None)
request_id: str = Field(...)
code: str | None = Field(None, description="Error code for the failed request.")
message: str | None = Field(None, description="Details about the failed request.")
class TaskResult(BaseModel):
url: str | None = Field(None)
code: str | None = Field(None)
message: str | None = Field(None)
class ImageTaskStatusOutputField(TaskCreationOutputField):
task_id: str = Field(...)
task_status: str = Field(...)
results: list[TaskResult] | None = Field(None)
class VideoTaskStatusOutputField(TaskCreationOutputField):
task_id: str = Field(...)
task_status: str = Field(...)
video_url: str | None = Field(None)
code: str | None = Field(None)
message: str | None = Field(None)
class ImageTaskStatusResponse(BaseModel):
output: ImageTaskStatusOutputField | None = Field(None)
request_id: str = Field(...)
class VideoTaskStatusResponse(BaseModel):
output: VideoTaskStatusOutputField | None = Field(None)
request_id: str = Field(...)

View File

@ -38,6 +38,7 @@ from comfy_api_nodes.util import (
UPSCALER_MODELS_MAP = {
"Starlight (Astra) Fast": "slf-1",
"Starlight (Astra) Creative": "slc-1",
"Starlight Precise 2.5": "slp-2.5",
}

File diff suppressed because it is too large Load Diff

View File

@ -1,3 +1,3 @@
# This file is automatically generated by the build process when version is
# updated in pyproject.toml.
__version__ = "0.18.2"
__version__ = "0.18.4"

View File

@ -1,6 +1,6 @@
[project]
name = "ComfyUI"
version = "0.18.2"
version = "0.18.4"
readme = "README.md"
license = { file = "LICENSE" }
requires-python = ">=3.10"

View File

@ -1,5 +1,5 @@
comfyui-frontend-package==1.41.21
comfyui-workflow-templates==0.9.36
comfyui-workflow-templates==0.9.43
comfyui-embedded-docs==0.4.3
torch
torchsde