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9 Commits

Author SHA1 Message Date
Matt Miller
deaff7e44b
Merge 2cf262fe67 into cf9cbec596 2026-05-01 02:35:22 -07:00
Talmaj
cf9cbec596
Reformat models variable into multiline array CORE-59 (#13513)
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Co-authored-by: Talmaj Marinc <talmaj@comfy.org>
2026-05-01 17:20:11 +08:00
Alexander Piskun
96f1cee9f5
chore(api-nodes): always display the custom width and height in GPTImage2 node (#13651)
Signed-off-by: bigcat88 <bigcat88@icloud.com>
2026-04-30 23:15:11 -07:00
Jedrzej Kosinski
97f58baaaf
Add alexisrolland and rattus128 as code owners (#13648)
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2026-04-30 21:49:31 -04:00
Daxiong (Lin)
e8e8fee224
chore: update workflow templates to v0.9.65 (#13644) 2026-04-30 18:14:28 -07:00
Rainer
e9c311b245
OneTainer ERNIE LoRA support (#13640) 2026-04-30 19:33:41 -04:00
comfyanonymous
e6e0936128
Load other jpeg formats without taking so much memory. (#13642) 2026-04-30 19:33:09 -04:00
Matt Miller
2cf262fe67 ci: set least-privilege contents:read permissions on openapi-lint workflow
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Per CodeRabbit review on #13410. The job only checks out the repo and
runs Spectral, so contents:read is sufficient and avoids inheriting any
permissive repo/org default token scope.
2026-04-29 19:01:37 -07:00
Matt Miller
14ada4d29d Add Spectral lint CI gate for openapi.yaml
Adds a blocking Spectral lint check that runs on PRs touching
openapi.yaml or the ruleset itself. The ruleset mirrors the one used
for other Comfy-Org service specs: spectral:oas plus conventions for
snake_case properties, camelCase operationIds, and response/schema
shape. Gate runs at --fail-severity=error, which the spec currently
passes with zero errors (a small number of non-blocking
warnings/hints remain for WebSocket 101 responses, the existing loose
error schema, and two snake_case wire fields).
2026-04-29 18:56:59 -07:00
8 changed files with 213 additions and 7 deletions

31
.github/workflows/openapi-lint.yml vendored Normal file
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@ -0,0 +1,31 @@
name: OpenAPI Lint
on:
pull_request:
paths:
- 'openapi.yaml'
- '.spectral.yaml'
- '.github/workflows/openapi-lint.yml'
permissions:
contents: read
jobs:
spectral:
name: Run Spectral
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Set up Node.js
uses: actions/setup-node@v4
with:
node-version: '20'
- name: Install Spectral
run: npm install -g @stoplight/spectral-cli@6
- name: Lint openapi.yaml
run: spectral lint openapi.yaml --ruleset .spectral.yaml --fail-severity=error

91
.spectral.yaml Normal file
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@ -0,0 +1,91 @@
extends:
- spectral:oas
# Severity levels: error, warn, info, hint, off
# Rules from the built-in "spectral:oas" ruleset are active by default.
# Below we tune severity and add custom rules for our conventions.
#
# This ruleset mirrors Comfy-Org/cloud/.spectral.yaml so specs across the
# organization are linted against a single consistent standard.
rules:
# -----------------------------------------------------------------------
# Built-in rule severity overrides
# -----------------------------------------------------------------------
operation-operationId: error
operation-description: warn
operation-tag-defined: error
info-contact: off
info-description: warn
no-eval-in-markdown: error
no-$ref-siblings: error
# -----------------------------------------------------------------------
# Custom rules: naming conventions
# -----------------------------------------------------------------------
# Property names should be snake_case
property-name-snake-case:
description: Property names must be snake_case
severity: warn
given: "$.components.schemas.*.properties[*]~"
then:
function: pattern
functionOptions:
match: "^[a-z][a-z0-9]*(_[a-z0-9]+)*$"
# Operation IDs should be camelCase
operation-id-camel-case:
description: Operation IDs must be camelCase
severity: warn
given: "$.paths.*.*.operationId"
then:
function: pattern
functionOptions:
match: "^[a-z][a-zA-Z0-9]*$"
# -----------------------------------------------------------------------
# Custom rules: response conventions
# -----------------------------------------------------------------------
# Error responses (4xx, 5xx) should use a consistent shape
error-response-schema:
description: Error responses should reference a standard error schema
severity: hint
given: "$.paths.*.*.responses[?(@property >= '400' && @property < '600')].content['application/json'].schema"
then:
field: "$ref"
function: truthy
# All 2xx responses with JSON body should have a schema
response-schema-defined:
description: Success responses with JSON content should define a schema
severity: warn
given: "$.paths.*.*.responses[?(@property >= '200' && @property < '300')].content['application/json']"
then:
field: schema
function: truthy
# -----------------------------------------------------------------------
# Custom rules: best practices
# -----------------------------------------------------------------------
# Path parameters must have a description
path-param-description:
description: Path parameters should have a description
severity: warn
given:
- "$.paths.*.parameters[?(@.in == 'path')]"
- "$.paths.*.*.parameters[?(@.in == 'path')]"
then:
field: description
function: truthy
# Schemas should have a description
schema-description:
description: Component schemas should have a description
severity: hint
given: "$.components.schemas.*"
then:
field: description
function: truthy

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@ -1,2 +1,2 @@
# Admins
* @comfyanonymous @kosinkadink @guill
* @comfyanonymous @kosinkadink @guill @alexisrolland @rattus128

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@ -342,6 +342,12 @@ def model_lora_keys_unet(model, key_map={}):
key_map["base_model.model.{}".format(key_lora)] = k # Official base model loras
key_map["lycoris_{}".format(key_lora.replace(".", "_"))] = k # LyCORIS/LoKR format
if isinstance(model, comfy.model_base.ErnieImage):
for k in sdk:
if k.startswith("diffusion_model.") and k.endswith(".weight"):
key_lora = k[len("diffusion_model."):-len(".weight")]
key_map["transformer.{}".format(key_lora)] = k
return key_map

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@ -1879,6 +1879,86 @@ class CogVideoX_I2V(CogVideoX_T2V):
out = model_base.CogVideoX(self, image_to_video=True, device=device)
return out
models = [LotusD, Stable_Zero123, SD15_instructpix2pix, SD15, SD20, SD21UnclipL, SD21UnclipH, SDXL_instructpix2pix, SDXLRefiner, SDXL, SSD1B, KOALA_700M, KOALA_1B, Segmind_Vega, SD_X4Upscaler, Stable_Cascade_C, Stable_Cascade_B, SV3D_u, SV3D_p, SD3, StableAudio, AuraFlow, PixArtAlpha, PixArtSigma, HunyuanDiT, HunyuanDiT1, FluxInpaint, Flux, LongCatImage, FluxSchnell, GenmoMochi, LTXV, LTXAV, HunyuanVideo15_SR_Distilled, HunyuanVideo15, HunyuanImage21Refiner, HunyuanImage21, HunyuanVideoSkyreelsI2V, HunyuanVideoI2V, HunyuanVideo, CosmosT2V, CosmosI2V, CosmosT2IPredict2, CosmosI2VPredict2, ZImagePixelSpace, ZImage, Lumina2, WAN22_T2V, WAN21_T2V, WAN21_I2V, WAN21_FunControl2V, WAN21_Vace, WAN21_Camera, WAN22_Camera, WAN22_S2V, WAN21_HuMo, WAN22_Animate, WAN21_FlowRVS, WAN21_SCAIL, Hunyuan3Dv2mini, Hunyuan3Dv2, Hunyuan3Dv2_1, HiDream, Chroma, ChromaRadiance, ACEStep, ACEStep15, Omnigen2, QwenImage, Flux2, Kandinsky5Image, Kandinsky5, Anima, RT_DETR_v4, ErnieImage, SAM3, SAM31, CogVideoX_I2V, CogVideoX_T2V]
models += [SVD_img2vid]
models = [
LotusD,
Stable_Zero123,
SD15_instructpix2pix,
SD15,
SD20,
SD21UnclipL,
SD21UnclipH,
SDXL_instructpix2pix,
SDXLRefiner,
SDXL,
SSD1B,
KOALA_700M,
KOALA_1B,
Segmind_Vega,
SD_X4Upscaler,
Stable_Cascade_C,
Stable_Cascade_B,
SV3D_u,
SV3D_p,
SD3,
StableAudio,
AuraFlow,
PixArtAlpha,
PixArtSigma,
HunyuanDiT,
HunyuanDiT1,
FluxInpaint,
Flux,
LongCatImage,
FluxSchnell,
GenmoMochi,
LTXV,
LTXAV,
HunyuanVideo15_SR_Distilled,
HunyuanVideo15,
HunyuanImage21Refiner,
HunyuanImage21,
HunyuanVideoSkyreelsI2V,
HunyuanVideoI2V,
HunyuanVideo,
CosmosT2V,
CosmosI2V,
CosmosT2IPredict2,
CosmosI2VPredict2,
ZImagePixelSpace,
ZImage,
Lumina2,
WAN22_T2V,
WAN21_T2V,
WAN21_I2V,
WAN21_FunControl2V,
WAN21_Vace,
WAN21_Camera,
WAN22_Camera,
WAN22_S2V,
WAN21_HuMo,
WAN22_Animate,
WAN21_FlowRVS,
WAN21_SCAIL,
Hunyuan3Dv2mini,
Hunyuan3Dv2,
Hunyuan3Dv2_1,
HiDream,
Chroma,
ChromaRadiance,
ACEStep,
ACEStep15,
Omnigen2,
QwenImage,
Flux2,
Kandinsky5Image,
Kandinsky5,
Anima,
RT_DETR_v4,
ErnieImage,
SAM3,
SAM31,
CogVideoX_I2V,
CogVideoX_T2V,
SVD_img2vid,
]

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@ -290,7 +290,7 @@ class VideoFromFile(VideoInput):
alphas = []
alpha_channel = True
break
if frame.format.name in ("yuvj420p", "rgb24", "rgba", "pal8"):
if frame.format.name in ("yuvj420p", "yuvj422p", "yuvj444p", "rgb24", "rgba", "pal8"):
process_image_format = lambda a: a.float() / 255.0
if alpha_channel:
image_format = 'rgba'

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@ -454,7 +454,6 @@ class OpenAIGPTImage1(IO.ComfyNode):
step=16,
tooltip="Used only when `size` is 'Custom'. Must be a multiple of 16 (GPT Image 2 only).",
optional=True,
advanced=True,
),
IO.Int.Input(
"custom_height",
@ -464,7 +463,6 @@ class OpenAIGPTImage1(IO.ComfyNode):
step=16,
tooltip="Used only when `size` is 'Custom'. Must be a multiple of 16 (GPT Image 2 only).",
optional=True,
advanced=True,
),
],
outputs=[

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@ -1,5 +1,5 @@
comfyui-frontend-package==1.42.15
comfyui-workflow-templates==0.9.63
comfyui-workflow-templates==0.9.65
comfyui-embedded-docs==0.4.4
torch
torchsde