Complete Guide to Integrating gpt-image-2 with ComfyUI: 5 Steps to Unlock OpenAI’s Most Powerful Image Model

Want to call gpt-image-2 directly in your local ComfyUI for text-to-image, Mask refinement, and multi-image compositing, but hitting walls with official OpenAI node network restrictions, quotas, or parameter control? This guide shows you the shortest path to get the whole workflow running: install one community extension, swap your API proxy service, and light up the gpt-image-2 node on your ComfyUI canvas in just 5 minutes.

gpt-image-2 is the "reason-before-generate" image model released by OpenAI in 2026. It excels at dense text rendering, UI infographics, comic storyboarding, and precision Mask editing while keeping the non-edited areas pixel-perfect. However, integrating it into ComfyUI's node graphs using official Partner Nodes can be a headache for many users due to connectivity or authentication issues.

Comfyui-Luck-gpt2.0 is currently the most stable gpt-image-2 integration solution in the ComfyUI community. It provides both "fine-tuned control" and "economical batch" nodes, allowing you to generate 4K high-quality outputs or run $0.03/image batch sketches. It works with any gateway compatible with OpenAI's API. For this guide, we recommend using APIYI (apiyi.com), which offers three reliable routes—api.apiyi.com, vip.apiyi.com, and b.apiyi.com—with plug-and-play Bearer Token support.

By following this ComfyUI gpt-image-2 integration tutorial, you'll get:

A Luck gpt-image-2 / Luck gpt-2.0 all node that you can find by double-clicking on your ComfyUI canvas.
A parameter cheat sheet covering 1K/2K/4K resolutions, 15 aspect ratios, and Mask refinement.
Two ready-to-use workflow examples (4K text-to-image + Mask inpainting).
A troubleshooting list to help you dodge common errors like timeouts, 429 rate limits, and Mask format mismatches.

1. Why Integrate gpt-image-2 into ComfyUI?

1.1 Three New Capabilities gpt-image-2 Brings to ComfyUI

Before gpt-image-2, creating text-heavy posters or UI infographics in ComfyUI largely relied on brute-forcing SDXL + ControlNet, often resulting in blurry text or broken layouts. As OpenAI's first "reasoning-first" image model, gpt-image-2 plans the composition before putting "pen to paper," making it perfect for ComfyUI's modular workflow:

Capability	Previous Local Solution	After Integrating gpt-image-2
Dense Text Rendering	Required OCR & post-editing	Direct generation of 7-item, 11pt Helvetica centered lists
Mask Inpainting	Often destroyed surrounding pixels	"Pixel-stable" outside edit zones; protects faces and composition
Multi-image Consistency	Complex IPAdapter tuning	Up to 5 reference images; maintains character/product fidelity
Ultra-High Res	Constant Hires.fix tweaking	Native support for 1K/2K/4K in a single pass

1.2 Why Choose Comfyui-Luck-gpt2.0 Over Official Nodes

ComfyUI added the OpenAI GPT-Image node via Partner Nodes in v0.19.4, but it defaults to a direct connection to OpenAI, which frequently hangs on SSL handshakes or 429 rate limits in restricted network environments. Comfyui-Luck-gpt2.0 provides the fix:

✅ Region-Friendly: Defaults to an API proxy service compatible with OpenAI's interface; supports api.apiyi.com plus redundant backups.
✅ Broader Parameters: Exposes more granular settings than official nodes, such as image_size, quality, output_compression, and output_format.
✅ Dual Node Setup: Includes both a "fine-control" node and an "economical" batch-processing node.
✅ Chinese Prompt Support: The batch node offers more stable semantic understanding for Chinese prompts.

💡 Gateway Recommendation: This guide uses APIYI apiyi.com as the entry point for gpt-image-2. It supports both the Responses API and Images API formats, matching the two endpoint types in Comfyui-Luck-gpt2.0 perfectly and saving you from secondary configuration.

1.3 Who Is This Tutorial For?

Your Role	What You'll Gain
ComfyUI Veteran	Insert a high-quality "cover/poster" node into existing workflows, skipping Photoshop text cleanup.
AIGC Commercial Photographer	Mask refinement + multiple reference images for stable product/model replication.
Creator / Blogger	One-click generation of 4K vertical 2:3 covers, replacing stock image libraries.
Developer	Treat ComfyUI as a local Stable Diffusion wrapper and use gpt-image-2 for API test integration.

II. Core Components for Integrating gpt-image-2 into ComfyUI

2.1 Overview of the Comfyui-Luck-gpt2.0 Plugin

Comfyui-Luck-gpt2.0 is an open-source custom node package for ComfyUI, available on GitHub at github.com/luckdvr/Comfyui-Luck-gpt2.0. It’s not just a single node, but a "suite." Once installed, it registers two independent nodes in your ComfyUI node menu:

Comfyui-Luck-gpt2.0
├── Luck gpt-image-2       # Forward node: Precise control, true size parameters
└── Luck gpt-2.0 all       # Reverse node: Economy mode, switchable endpoints

Both nodes share the same external interface and require you to provide:

A base_url compatible with the OpenAI protocol (we recommend the APIYI service api.apiyi.com).
An API key in Bearer YOUR_API_KEY format.
Your text prompt or image input.

2.2 Which node should you choose? A simple comparison

This is the most important table in this article. Review it carefully before moving on:

Feature	Luck gpt-image-2 (Forward)	Luck gpt-2.0 all (Reverse)
Backend Model	`gpt-image-2`	`gpt-image-2-all`
Purpose	Precise control, high-quality output	Cost-effective, batching, Chinese-friendly
Size Parameter	✅ True `size` field	❌ Implicit via prompt
Resolution	AUTO / 1K / 2K / 4K / Custom	Default size
Aspect Ratio	15 presets + Custom WxH	Expressed via prompt
Mask Inpainting	✅ Supported	❌ Not supported
Reference Images	Up to 5	Up to 5
Quality	auto / low / medium / high	Fixed
Output Format	PNG / JPEG / WebP	PNG
Endpoint	`images_api` (fixed)	Switchable (`chat_completions` / `images_api`)
Pricing Basis	Token-based	Approx. $0.03/image
Best For	Posters, covers, commercial photos, Mask edits	Batch drafts, concepts, Chinese prompts

2.3 API Backend: Why We Recommend APIYI (apiyi.com)

Comfyui-Luck-gpt2.0 itself is essentially a "shell"; the actual calls to gpt-image-2 are handled by the gateway you specify in the base_url. It requires the gateway to meet two criteria:

Full OpenAI Protocol Compatibility: Including full support for /v1/images/generations, /v1/responses, and /v1/chat/completions routes.
Native Routing for gpt-image-2: It must correctly identify model=gpt-image-2 and model=gpt-image-2-all.

🎯 Integration Tip: We recommend accessing gpt-image-2 through the APIYI (apiyi.com) platform. It supports both the gpt-image-2 forward mode and gpt-image-2-all reverse mode. It uses a unified Bearer Token for authentication and handles automatic failover between the main site (api.apiyi.com) and backup lines (vip.apiyi.com / b.apiyi.com), significantly reducing failures caused by single-point network instability during batch processing in ComfyUI.

Here’s how the different endpoints differ:

Domain	Purpose	Use Case
`api.apiyi.com`	Primary	The default choice for daily use in ComfyUI workstations.
`vip.apiyi.com`	High-concurrency	Best for large batch jobs, parallel node processing, and overnight queues.
`b.apiyi.com`	Failover	Used as a backup export if the main site experiences fluctuations.

All three lines share the same API key. In your Comfyui-Luck-gpt2.0 node, you only need to change a single string to switch between them.

III. Complete Installation Steps for Integrating gpt-image-2 into ComfyUI

3.1 Environment Prerequisites

Before you get started, make sure your ComfyUI environment meets these requirements:

Item	Requirement	Check Command
ComfyUI Version	v0.3+ or newer recommended	First line in console on startup
Python Version	3.10 / 3.11 / 3.12	`python3 --version`
Git Availability	Accessible directly in terminal	`git --version`
Disk Space	≥ 500 MB (for plugin + dependencies)	`df -h`
Network	Access to GitHub + `api.apiyi.com`	`curl -I api.apiyi.com`

⚠️ Common Pitfall: If you're using a one-click installer on Windows (like the QiuYe version), python3 might point to the built-in Python. You'll need to use .\python_embeded\python.exe instead.

3.2 Installing the Plugin: 4 Simple Steps

Installing the ComfyUI gpt-image-2 plugin takes just four commands. Open your terminal, navigate to your ComfyUI root directory, and run:

# 1. Navigate to the custom_nodes directory
cd ComfyUI/custom_nodes

# 2. Clone the Comfyui-Luck-gpt2.0 repository
git clone https://github.com/luckdvr/Comfyui-Luck-gpt2.0.git

# 3. Install Python dependencies
cd Comfyui-Luck-gpt2.0
python3 -m pip install -r requirements.txt

# 4. Restart ComfyUI

If you're using a Windows portable package, replace step 3 with:

cd Comfyui-Luck-gpt2.0
..\..\python_embeded\python.exe -m pip install -r requirements.txt

After restarting, check the console for logs like these:

[Comfyui-Luck-gpt2.0] Registered node: Luck gpt-image-2
[Comfyui-Luck-gpt2.0] Registered node: Luck gpt-2.0 all

Seeing these two registration lines confirms that the ComfyUI gpt-image-2 integration is ready to go.

3.3 Obtaining Your APIYI Key

Visit the official APIYI website at apiyi.com.
Register/log in and go to the Console → API Keys.
Click "Create New Key." It's recommended to enable "Usage Limits" and set an initial limit of ¥20–50 for verification.
Copy the key string starting with sk- and keep it safe.

🔐 Security Tip: Create a dedicated key for ComfyUI and set a daily usage limit. Since local plugins store the key within node parameters, it can easily leak if you export your workflow JSON. Using a separate key makes it easier to revoke if necessary.

3.4 Inserting Nodes into the ComfyUI Canvas

Once ComfyUI is open:

Double-click on an empty area of the canvas to open the node search box.
Type Luck gpt-image-2 (for standard) or Luck gpt-2.0 all (for all-in-one).
Select the node, and ComfyUI will place it at your cursor location.

After the node appears, fill in these three key fields:

Field	Value	Description
`base_url`	`https://api.apiyi.com/v1`	Main site address (don't forget the `/v1`)
`api_key`	`sk-xxxxxxxxxxxxxxxx`	Copied from the APIYI console
`model`	`gpt-image-2` or `gpt-image-2-all`	Depends on the node; usually pre-filled

3.5 Your First Generation: A Minimal Workflow

Let's run a simple 1024×1024 text-to-image task with Luck gpt-image-2 to verify the connection:

[Luck gpt-image-2]
  ├── base_url     = https://api.apiyi.com/v1
  ├── api_key      = sk-xxxxxxxx
  ├── prompt       = A minimalist product poster, dark navy background,
  │                  centered title "HELLO 2026" in large Helvetica font,
  │                  tiny stars scattered around
  ├── image_size   = 1K
  ├── aspect_ratio = 1:1
  ├── quality      = medium
  └── output_format = png
      │
      ▼
[Preview Image]

Connect the image output of the Luck gpt-image-2 node to ComfyUI's built-in Preview Image node and click "Queue." After about 20–40 seconds, you should see a square poster with the "HELLO 2026" title on the right side of your canvas. If the text is clear and centered, you've successfully integrated gpt-image-2 into ComfyUI.

🎯 Troubleshooting: If this fails, 90% of the time it's because the base_url is missing /v1 or the sk- prefix was omitted from the key. Go back to the APIYI apiyi.com console to copy the key again and double-check the base_url.

IV. Quick Reference for Core gpt-image-2 Parameters

4.1 Resolution (image_size)

The image_size field in the Luck gpt-image-2 node determines the output resolution:

image_size	Actual Dimensions (1:1 example)	Typical Use Case
AUTO	Model decides automatically	Exploratory generation
1K	1024×1024	Sketches, avatars, emojis
2K	2048×2048	Blog headers, covers
4K	Up to 3840×3840	Posters, printing, large displays
custom	WIDTHxHEIGHT	Custom ad slots, long images

Requirements for custom mode:

Width and height must be multiples of 16.
The longest side cannot exceed 3840 px.
Recommended formats: 1600x900, 2048x1152, 1088x1920.

4.2 Aspect Ratio (aspect_ratio)

The gpt-image-2 node supports 15 aspect ratio presets. Here are the 8 most common:

aspect_ratio	Best For
1:1	Avatars, social media squares, product images
16:9	Blog headers, video thumbnails
9:16	TikTok/Shorts, mobile wallpapers
2:3	Movie posters, Pinterest feeds
3:2	Photography, camera aspect ratios
4:3	Slideshows, PPTs
21:9	Wide banners, landscape web headers
4:5	Instagram posts

You can use the other 7 presets as needed, or select custom and enter your own WxH in custom_size to override the presets.

4.3 Quality Levels (quality)

quality	Speed	Cost	Best For
auto	Medium	Medium	Let the model decide
low	Fast	Low	Batch sketches, mood previews
medium	Medium	Medium	Blog posts, social media
high	Slow	High	Covers, posters, print materials

Rule of thumb: Always use quality=high for wide aspect ratios (21:9) or high resolutions (4K) to avoid loss of detail.

4.4 Output Format and Compression

output_format	output_compression	Best For
png	Ignored	Transparent backgrounds, post-processing
jpeg	85–95	Blog content images
webp	75–85	Websites, mobile-first content

output_compression only applies to jpeg/webp modes, with values from 0–100. Higher numbers mean larger file sizes and better quality.

4.5 Reference Images and Masks

Reference images: Connect up to 5 IMAGE inputs. The model uses these as anchors for composition, style, or characters.
Mask: Connect a black-and-white image of the exact same dimensions as the first reference image. White pixels represent "edit here," while black pixels represent "keep stable." This is one of the most powerful features of gpt-image-2.

🎯 Pro Tip: Use a LoadImage node in ComfyUI to load your source image, then use MaskToImage / ImageInvert to create your mask. For complex workflows, check the gpt-image-2 sample workflows at docs.apiyi.com—you can often copy and paste them directly into your canvas with Ctrl+V.

5. Three Practical Workflows for Integrating gpt-image-2 in ComfyUI

5.1 Workflow A: High-Quality 4K Text-to-Image Poster

Goal: Generate a 3840×5760 (2:3) cinematic movie poster with clear text and a focused composition.

[PrimitiveNode: prompt string]
  │
  ▼
[Luck gpt-image-2]
  ├── base_url     = https://api.apiyi.com/v1
  ├── api_key      = sk-xxxx
  ├── prompt       = (from upstream)
  ├── image_size   = 4K
  ├── aspect_ratio = 2:3
  ├── quality      = high
  ├── output_format = png
  ├── timeout      = 360
  └── max_retries  = 3
      │
      ▼
[SaveImage: filename_prefix = poster_4k]

Example prompt:

A cinematic poster for a sci-fi novel titled "NEON HORIZON",
dark blue and magenta gradient sky, lone silhouette standing on a cliff,
bold serif title centered at the top, subtle tagline at bottom in small caps,
highly detailed, 35mm film grain.

Key takeaways:

image_size=4K + aspect_ratio=2:3 ≈ 3840×5760.
quality=high is crucial for text clarity; lower settings may cause glyph distortion.
timeout must be ≥ 360 seconds, as 4K generation can take 3–5 minutes.

5.2 Workflow B: Mask Inpainting (Background Replacement/Detail Refinement)

Goal: Replace the plain white background of a coffee cup product image with a "marble texture tabletop" while keeping the foreground cup and shadows perfectly intact.

[LoadImage: coffee_cup.png]      [LoadImage: coffee_cup_mask.png]
        │                                  │
        ▼                                  ▼
              [Luck gpt-image-2]
              ├── prompt     = Replace the background with a luxurious
              │                white marble countertop, soft natural
              │                window light from the left
              ├── image_1    = ← coffee_cup.png
              ├── mask       = ← coffee_cup_mask.png  (white=background area)
              ├── image_size = 2K
              ├── quality    = high
                    │
                    ▼
              [SaveImage]

Key rules for Masks:

The mask image must have the exact same dimensions as image_1.
White (255,255,255) = Area to be edited.
Black (0,0,0) = Area to keep stable.
Grayscale = Proportional blending (useful for edge feathering).

💡 Fidelity Tip: Apply a 3–5 px Gaussian blur to the mask edges to avoid a "sticker-like" seam. gpt-image-2 handles grayscale transitions well, making it perfect for product photography background replacement.

5.3 Workflow C: Economy Mode for Batching 100 Concept Drafts

Goal: Design 100 clothing concepts for a character at approximately $0.03 each, keeping the total cost around $3.

[TextFileReader: 100 prompts]
          │
          ▼ (loop/queue)
[Luck gpt-2.0 all]
  ├── base_url    = https://vip.apiyi.com/v1   ← Use high-concurrency route for batches
  ├── api_key     = sk-xxxx
  ├── endpoint    = chat_completions
  ├── model       = gpt-image-2-all
  ├── timeout     = 180
  └── max_retries = 3
      │
      ▼
[SaveImage: filename_prefix = concept_###]

Three reasons why the Luck gpt-2.0 all node is best for this:

Per-image billing: At ~$0.03/image, it's easier to budget than token-based billing.
Chinese prompt friendly: Concept drafts often use Chinese terms like "Hanfu modification" or "Cyberpunk," and this node offers higher stability.
Endpoint switching: The chat_completions mode handles long prompts better.

🎯 Batch Stability: When running batches, set base_url to vip.apiyi.com, max_retries to 3, and timeout to 180 seconds. The VIP route on APIYI (apiyi.com) automatically distributes traffic to backup gateways during 429/5xx errors, preventing long tasks from crashing midway.

6. Advanced Techniques for Integrating gpt-image-2 in ComfyUI

6.1 Hybrid Pipeline: gpt-image-2 for Subject + Local Models for Style

gpt-image-2 excels at "complex composition + text layout," but it may lag behind SDXL/Flux in anime, pixel art, or specific artist styles. Recommended hybrid pipeline:

[Luck gpt-image-2]  → Generate subject composition (with text/logo)
        ↓
[VAE Encode]        → Convert back to latent
        ↓
[KSampler: Flux/SDXL + LoRA] → Style transfer / Clarity refinement
        ↓
[Upscaler: 4x-UltraSharp] → Upscale to 8K

This approach leverages gpt-image-2's "text-writing" capability while utilizing the "style freedom" of local models, usually resulting in higher quality than a single model.

6.2 Multi-Reference Image Consistency: Keeping Subjects Stable

Enable the 5 reference image inputs in Luck gpt-image-2 to significantly improve character or product consistency:

Reference Slot	Recommended Content
image_1	Clear front view of the subject
image_2	Side/back view of the subject
image_3	Detail close-up (Logo, texture)
image_4	Scene atmosphere reference
image_5	Tone/lighting reference

Emphasize in your prompt to "maintain the character identity from image_1" or "use the lighting direction from image_4" for highly stable results.

6.3 Batch Consistency: Generating 8 Series Images at Once

gpt-image-2 can return up to 8 images with consistent subjects in a single request. Set the n parameter (sometimes called batch_size) to 8 in the Luck gpt-image-2 node:

Luck gpt-image-2
  ├── prompt = character turnaround sheet of a cyberpunk girl,
  │            8 different poses, same outfit, same face,
  │            white background, character sheet layout
  └── n = 8

Suitable for:

Character turnaround sheets (8 angles)
Product variants (8 colors/packaging)
Storyboards (8 frames)

6.4 Exposing ComfyUI Workflows as an API

If you use ComfyUI as a "private server" for your frontend, the output of the Comfyui-Luck-gpt2.0 node can be consumed directly by ComfyUI's /prompt endpoint. By using APIYI (apiyi.com) multi-exit routes as the backend, the entire chain becomes:

Your Frontend → ComfyUI HTTP API → Luck gpt-image-2 node
                                      ↓
                          api.apiyi.com / vip.apiyi.com
                                      ↓
                               OpenAI gpt-image-2

This is the fastest path to packaging a "ComfyUI workflow" into an "external image API."

VII. ComfyUI Integration with gpt-image-2: FAQ

Q1: I've installed the nodes, but I can't find `Luck gpt-image-2` in the canvas?

Check these four items:

Does the ComfyUI/custom_nodes/Comfyui-Luck-gpt2.0/ directory exist?
Are all dependencies in requirements.txt installed correctly? (Pay close attention to requests and Pillow).
Are there any red ImportError messages in the ComfyUI console when it starts up?
Did you perform a "full restart" of ComfyUI? (Refreshing the browser page with Ctrl+R doesn't count).

Q2: Getting a `401 Unauthorized` or `Invalid API key` error?

99% of the time, it's an issue with your Key or base_url:

The Key must include the sk- prefix.
The base_url must end with /v1 (do not just write https://api.apiyi.com).
Do not manually add Bearer in front of your Key; the node appends it automatically.

Q3: Getting a `429 Too Many Requests` error?

You've hit a rate limit. Here are two ways to handle it:

Short-term: Set max_retries to 3 or higher, allowing the node to wait and retry automatically.
Long-term: Change your base_url from api.apiyi.com to vip.apiyi.com or b.apiyi.com. The latter two are high-concurrency/backup routes.

Quick Reference for Error Codes:

Error Code	Meaning	Action
401	Invalid Key	Re-copy and check for the `sk-` prefix
403	Insufficient Permissions	Confirm the model is enabled in your APIYI dashboard
408	Timeout	Increase `timeout` to 360 seconds
429	Rate Limited	Switch to a VIP route + increase `retries`
500/502	Server Fluctuation	Automatic retry for 3 attempts, or switch to the `b` route

Q4: 4K generations always time out?

Set timeout to 480 seconds (a 4K gpt-image-2 generation with quality=high can occasionally take up to 6 minutes).
max_retries=2 is enough; too many retries will add up to a long wait.
If your network is slow, try using image_size=2K and then use an Upscaler node to get to 4K; it usually feels much faster.

Q5: The Mask isn't aligning correctly in the editor?

Ensure the Mask and the original image have the same width and height without pixel offset.
Ensure the Mask is pure black and white without an alpha channel.
White areas must be absolute (255, 255, 255); avoid light grays.
You can add an ImageThreshold node before your Mask input to force binary values.

Q6: Can I use this completely offline?

No. gpt-image-2 is an OpenAI cloud-based model and requires access via a gateway. However, you can achieve "pseudo-high availability" by using the three exit routes provided by APIYI (apiyi.com): it will automatically switch if the main site fluctuates, providing an experience similar to local deployment.

Q7: Chinese prompts keep resulting in gibberish?

The standard node (Luck gpt-image-2) is better at English typography.
For Chinese prompts, we recommend the "all-round" node (Luck gpt-2.0 all), as it uses the gpt-image-2-all model, which handles Chinese more consistently.
If you must use the standard node with Chinese, write the prompt as render Chinese text "你好世界" instead of letting the model "guess" what to write.

Q8: How can I estimate costs?

Standard Node (gpt-image-2): Charged by token usage. A 2K image is roughly $0.08–$0.15, and 4K high-quality is about $0.25–$0.40.
"All-round" Node (gpt-image-2-all): Charged per image, about $0.03/image.
We recommend enabling "Daily Usage Limits" in your APIYI (apiyi.com) dashboard and running 50–100 images to establish a baseline.

VIII. Summary of ComfyUI Integration with gpt-image-2

Integrating gpt-image-2 into ComfyUI essentially means you get the power of a top-tier cloud model combined with local precision nodes in a single canvas. By following this guide, you should have:

✅ Installed the Comfyui-Luck-gpt2.0 plugin and registered the two new nodes.
✅ Obtained your Key from the APIYI apiyi.com dashboard and configured your base_url / api_key.
✅ Successfully run a minimal text-to-image workflow to confirm the link is active.
✅ Mastered parameter combinations including 1K/2K/4K, 15 aspect ratios, four quality levels, and PNG/JPEG/WebP formats.
✅ Successfully executed at least one practical workflow, such as 4K text-to-image, Mask inpainting, or batch economical mode.

The greatest value of integrating gpt-image-2 with ComfyUI is turning "OpenAI's top-tier image model" into just another node on your canvas. You no longer need to switch back and forth between your browser and local tools; you can chain your entire pipeline in one go: gpt-image-2 generates the base → SDXL for stylization → Upscaler for upsampling → SaveImage to export.

🎯 Next Steps: We suggest applying for a test key on the APIYI apiyi.com platform (with a set limit), running your first image using the §3.5 minimal workflow, and then moving on to the three practical workflows in §5. If you run into parameter issues, refer back to the §4 quick reference table, and check the §7 FAQ for error codes. For more complex JSON workflows, check out the ComfyUI section of the official APIYI documentation at docs.apiyi.com.

You now have a complete, production-ready ComfyUI gpt-image-2 integration solution. Happy creating on your ComfyUI canvas!

Author: APIYI Technical Team
Resources:

Plugin Repository: github.com/luckdvr/Comfyui-Luck-gpt2.0
APIYI Official Website: apiyi.com
APIYI Documentation: docs.apiyi.com
APIYI Main Site: api.apiyi.com (Backup: vip.apiyi.com / b.apiyi.com)

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