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Krea 2 Turbo in ComfyUI: Full Setup Guide + All 4 Style LoRAs

Krea 2 went open-source on June 23, 2026. Run it locally in ComfyUI for free — no API key, no cloud queue, no usage limits. This guide covers every file, every folder, all four style LoRAs, and 8 tested prompts to get you generating in under 30 minutes.

12 GB

Min VRAM

RTX 3060 · 4080

Tested on

v0.26.0+

ComfyUI

All levels

Skill level

By Earngenix Team · · Tested on RTX 3060 (12 GB) and RTX 4080 (16 GB) · ComfyUI v0.26.0 · Model: krea2_turbo_fp8_scaled.safetensors

⚡ Quick Answer

Krea 2 Turbo runs locally in ComfyUI — no API key, no cloud. Download the FP8 model (13 GB) if you have 12–16 GB VRAM, or the BF16 model (26.3 GB) for 24 GB+ cards. You also need one text encoder file and one VAE file. This guide covers every file, every folder, workflow downloads for both model versions, and all four official style LoRAs.

Krea 2 went open-source on June 23, 2026. It is not based on Stable Diffusion or FLUX — it is a completely new architecture built by Krea AI. You can run it entirely on your own GPU, offline, with no usage limits.

This guide covers the complete setup: which files to download, exactly where they go, how to load the workflow, how to run any of the four style LoRAs, and 8 tested prompts to verify your setup is working.

Minimum VRAM: 12 GB (FP8 model). 16 GB recommended. BF16 requires 24 GB+.
Tested on: RTX 3060 (12 GB) and RTX 4080 (16 GB).

What Is Krea 2?

Krea 2 is an image generation model built from scratch by Krea AI. It is a 12-billion-parameter DiT (diffusion transformer — the same category of architecture used by FLUX and SD3). It uses the Qwen Image VAE for decoding images and the Qwen3-VL text encoder for reading your prompts.

Krea 2 RAW

The base model. Designed for LoRA training — not for everyday image generation. Produces diverse outputs. Requires 52 steps at CFG 3.0–3.5. Don't use RAW unless you're training LoRAs.

Krea 2 Turbo ← use this

The distilled model built on top of RL-optimized RAW. Generates in 8 steps at CFG 1.0. Produces high-quality results fast. This is the model this entire guide covers.

Krea 2 Turbo is not a fine-tune of another model. It has its own architecture, its own training data pipeline, and its own model files. That means the folder structure and node setup in ComfyUI are different from FLUX and SDXL — follow this guide's exact paths.

What Krea 2 Turbo Produces

These three images were generated on an RTX 3060 (12 GB) using the FP8 model at 1280×720, 8 steps, CFG 1.0. Click any image to zoom. Copy the prompt and paste it directly into your workflow to reproduce the result.

Drummer mid-cymbal crash on a glowing stage, drumstick a blur of chrome motion, generated by Krea 2 Turbo in ComfyUI
📷 No LoRA · 1280×720 · RTX 4090
🔍 Click to zoom

Concert Drummer — No LoRA

Cyberpunk courier on a glowing hoverbike weaving through traffic, neon decal reading EXPRESS, generated by Krea 2 Turbo in ComfyUI
📷 No LoRA · 1280×720 · RTX 4090
🔍 Click to zoom

Cyberpunk Courier — No LoRA

Astronaut floating mid-somersault outside a space station, Earth reflected in helmet visor, generated by Krea 2 Turbo in ComfyUI
🚀 No LoRA · 1280×720 · RTX 4090
🔍 Click to zoom

Astronaut — No LoRA

Street skateboarder grinding a rail with graffiti reading RIOT behind him, sparks flying from the trucks, generated by Krea 2 Turbo in ComfyUI
🛹 No LoRA · 1280×720 · RTX 4090
🔍 Click to zoom

Street Skateboarder — No LoRA

Figure skater performing a mid-axel jump under bright arena lights, generated by Krea 2 Turbo in ComfyUI
⛸️ No LoRA · 1280×720 · RTX 4090
🔍 Click to zoom

Figure Skater — No LoRA

Goalkeeper diving to block a soccer ball labeled FINAL, mud flying through the air, generated by Krea 2 Turbo in ComfyUI
⚽ No LoRA · 1280×720 · RTX 4090
🔍 Click to zoom

Soccer Goalkeeper — No LoRA

Chef flipping flaming vegetables in a hot pan with dramatic kitchen steam, generated by Krea 2 Turbo in ComfyUI
👨‍🍳 No LoRA · 1280×720 · RTX 4090
🔍 Click to zoom

Flambé Chef — No LoRA

Street drummer performing on a bucket drum kit covered in graffiti with neon reflections, generated by Krea 2 Turbo in ComfyUI
🥁 No LoRA · 1280×720 · RTX 4090
🔍 Click to zoom

Street Drummer — No LoRA

Tip: All prompts above use natural language — no keyword tags, no "masterpiece", no "8k". Krea 2 Turbo was trained on full-sentence descriptions. Write like you're describing a scene to a photographer.

What You Need Before Starting

Check your GPU VRAM before downloading anything. Open your graphics card software or check your system specs.

Pre-flight checklist

12–16 GB VRAM: Use the FP8 model. This covers most consumer GPUs.
24 GB+ VRAM: You can use FP8 or BF16. BF16 is for research only.
8 GB or less: Krea 2 Turbo is not reliably runnable at this VRAM level.
20–30 GB free disk: FP8 setup: ~16 GB total. BF16 setup: ~30 GB total.
ComfyUI v0.26.0+: Earlier versions do not have the nodes Krea 2 requires.

Model Files to Download

You need four files to run the basic workflow. All are hosted on the official Comfy-Org/Krea-2 repository on HuggingFace. LoRA files are optional and covered separately below.

FileSizeVRAMNotesDownload
krea2_turbo_fp8_scaled.safetensors13 GB12 GB+Recommended for most users↗ Download
krea2_turbo_bf16.safetensors26.3 GB24 GB+Full precision — research only↗ Download
qwen3vl_4b_fp8_scaled.safetensors~4 GBRequiredText encoder — always use fp8↗ Download
qwen_image_vae.safetensors~1 GBRequiredImage decoder — required for output↗ Download
FP8 vs BF16 — which to download? FP8 stores model weights at lower precision (8-bit instead of 16-bit). This halves the file size and VRAM usage with virtually no visible difference in output quality. Almost all users should download the FP8 version. Only download BF16 if you are doing research or LoRA training experiments and need full-precision weights.
Warning: Do not substitute the text encoder with the full BF16 version of Qwen3-VL. It is ~8 GB and will cause out-of-memory errors on 16 GB cards. The FP8 text encoder shown in the table above is the correct file for all users.

Optional: Style LoRAs

A LoRA (Low-Rank Adaptation) is a small add-on file that applies a specific visual style on top of the main model. You activate it with a trigger word in your prompt. Krea released four official style LoRAs — download whichever styles you want to try.

LoRA fileTrigger wordStrengthDownload
krea2_coolblueteal watercolor illustration style0.8↗ Download
krea2_darkbrushmonochrome ink wash style1.0↗ Download
krea2_plasmoidethereal shimmering light style0.8↗ Download
krea2_warmpastelmuted minimalist sketch style0.8↗ Download

Where to Place the Files

ComfyUI uses a specific folder structure inside its models/ directory. Each file type goes in a different subfolder. Placing a file in the wrong folder means ComfyUI cannot find it and the workflow fails to load.

ComfyUI / models / folder structure
ComfyUI/
└── models/
├── diffusion_models/
│ └── krea2_turbo_fp8_scaled.safetensorsmain model
├── text_encoders/
│ └── qwen3vl_4b_fp8_scaled.safetensorstext encoder
├── vae/
│ └── qwen_image_vae.safetensorsimage decoder
└── loras/
├── krea2_coolblue.safetensorsoptional LoRA
├── krea2_darkbrush.safetensorsoptional LoRA
├── krea2_plasmoid.safetensorsoptional LoRA
└── krea2_warmpastel.safetensorsoptional LoRA
diffusion_models/ — main modeltext_encoders/ — text encodervae/ — image decoderloras/ — style LoRAs (optional)
Warning: Do not place the diffusion model inside models/checkpoints/. Krea 2 uses the diffusion_models folder specifically. If you place it in the wrong folder, the model dropdown in ComfyUI will be empty and the workflow will fail to load.

Update ComfyUI to v0.26.0

Krea 2 requires ComfyUI version 0.26.0 or newer. Support for its architecture was only added in recent releases. If your ComfyUI is older than 0.25.0, the Krea 2 nodes will not exist and every node in the downloaded workflow will appear as a red error block.

How to update ComfyUI: The safest update method depends on how you installed ComfyUI. Follow the dedicated update guide rather than running raw git pull commands — incorrect updates can break your environment.

See: ComfyUI Troubleshooting — Common Issues for step-by-step update instructions and what to check if your version number is wrong.

If you're using ComfyUI Desktop, it updates automatically. Check the version number displayed in the interface — it should read 0.26.0 or higher.

If any nodes are missing after updating, the install missing nodes guide covers how to find and add any nodes your workflow requires using ComfyUI Manager.

Tip: After any ComfyUI update, restart it completely — don't just reload the browser tab. ComfyUI rescans model folders and loads updated node definitions on startup, not on browser reload.

Download the Workflow

Three workflow files are available. Download the one that matches the model you chose. The LoRA workflow is a separate file with a Load LoRA node pre-connected.

🔧 Krea 2 Turbo — Workflow Downloads

Download the ready-to-use ComfyUI workflow JSON. Drag it onto the canvas and generate.

How to Load the Workflow JSON into ComfyUI

  1. Download the .json file to your computer.
  2. Open ComfyUI in your browser — usually at http://127.0.0.1:8188.
  3. Drag the .json file directly onto the ComfyUI canvas. Drop it anywhere on the empty grey area.
  4. The workflow loads automatically. You should see a set of connected nodes appear on the canvas.
  5. If you see only red error blocks, jump to the Troubleshooting section below.
Krea 2 Turbo workflow loaded on the ComfyUI canvas — four node groups visible: model section, control, prompt, and sampling🔍 Click to zoom
Screenshot: The loaded Krea 2 Turbo workflow on the ComfyUI canvas. Four groups of nodes handle model loading, resolution, prompt, and sampling.

Alternative: ComfyUI Built-in Template

ComfyUI 0.26.0 includes a built-in template for Krea 2 Turbo. Click the Templates button in the top menu, find Text to Image (Krea-2 Turbo), and click it. This loads the base workflow without LoRA support. Use the downloaded workflow files above if you want LoRAs.

Workflow Structure: What Each Node Does

Once the workflow is loaded, you'll see four groups of nodes. Here's what each one controls and what to check before generating.

Model Section

This section loads the three required model files. After loading the workflow, check each node's dropdown to confirm the correct file is selected:

  • Diffusion model node → set to krea2_turbo_fp8_scaled.safetensors (or bf16 if you downloaded that version)
  • Text encoder node → set to qwen3vl_4b_fp8_scaled.safetensors
  • VAE node → set to qwen_image_vae.safetensors

If a filename does not appear in the dropdown, the file is in the wrong folder or named incorrectly. ComfyUI reads exact filenames — one misplaced character causes it to not appear.

ComfyUI model section showing the diffusion model, text encoder, and VAE dropdowns each displaying the correct Krea 2 file names🔍 Click to zoom
Screenshot: All three model dropdowns showing correct filenames. If any dropdown is empty, the file is in the wrong folder.

Control Section — Resolution

This section sets the output resolution. The default is 1280×720 (HD). Higher resolutions require significantly more VRAM.

Resolution guide by GPU:
12 GB card (FP8): 1280×720 is the safe limit. Going higher will trigger a CUDA out-of-memory error.
16 GB card: 1280×1280 is stable.
24 GB+ card: Native 2K (1920×1080) generation is possible. Krea 2 can generate at native 2K without a separate upscaling step.

Prompt Section

This is where you type your image description. Write in full sentences — Krea 2 was trained on natural-language descriptions, not keyword lists. A negative prompt is not required when using Turbo. Leave the negative prompt field blank.

Sampling Section — Default Settings for Turbo

The KSampler node runs the actual image generation. The correct default settings for Krea 2 Turbo are:

steps
8— optimized for Turbo, more steps won't improve quality
cfg
1.0— raising above 1.5 causes oversaturation
sampler
er_sde— required for Turbo
scheduler
simple— use with er_sde
Warning: Do not change these settings without a specific reason. Turbo was distilled for exactly these values. Increasing steps beyond 8 will not improve quality — it only wastes generation time. Raising CFG above 1.5 will make outputs oversaturated and distorted.
KSampler node in ComfyUI showing steps=8, cfg=1.0, sampler_name=er_sde, scheduler=simple for Krea 2 Turbo🔍 Click to zoom
Screenshot: The KSampler node with the correct default settings for Krea 2 Turbo. Do not change steps or CFG.

The 4 Official Style LoRAs

Krea released four official style LoRAs trained on Krea 2 RAW. Each applies a specific visual aesthetic on top of the main model when activated with a trigger word in your prompt. Without the trigger word, the LoRA has little or no visible effect even at full strength.

How to Load a LoRA

  1. Load the LoRA workflow file (downloaded above). It includes a Load LoRA node pre-connected between the diffusion model and sampler.
  2. In the workflow, find the Load LoRA node. It sits between the diffusion model node and the KSampler.
  3. Click the dropdown inside the Load LoRA node. Select the LoRA file you want (e.g. krea2_darkbrush.safetensors).
  4. Set the strength value — 1.0 for krea2_darkbrush, 0.8 for all others.
  5. In the Prompt section, include the trigger word for that LoRA at the start of your prompt.
  6. Click Queue Prompt. The LoRA style applies to the output.
Load LoRA node in ComfyUI showing krea2_darkbrush.safetensors selected in the dropdown and the strength slider set to 1.0🔍 Click to zoom
Screenshot: The Load LoRA node with krea2_darkbrush selected and strength set to 1.0.

What Each LoRA Produces

Krea 2 coolblue LoRA output — teal watercolor illustration aesthetic🔍 Click to zoom

krea2_coolblue

Teal-tinted watercolor illustration aesthetic. Works best with architectural subjects and editorial scenes. The blue-toned palette is strong — expect cool, muted tones even when you prompt warm lighting.

trigger:teal watercolor illustration style
strength:0.8
best for:City scenes, seascapes, interiors, architecture
Krea 2 darkbrush LoRA output — monochrome ink wash in East Asian brush painting style🔍 Click to zoom

krea2_darkbrush

Monochrome ink wash in the style of traditional East Asian brush painting. Strong contrast between deep blacks and soft gradients. The most visually aggressive of the four LoRAs at its recommended strength of 1.0.

trigger:monochrome ink wash style
strength:1.0
best for:Portraits, dramatic landscapes, warriors, animals
Krea 2 plasmoid LoRA output — ethereal glowing bioluminescent aesthetic🔍 Click to zoom

krea2_plasmoid

Ethereal, glowing, light-saturated aesthetic — bioluminescent underwater or plasma energy. Excellent for fantasy, sci-fi, and abstract subjects. Less effective on realistic human portraits.

trigger:ethereal shimmering light style
strength:0.8
best for:Sci-fi, supernatural scenes, abstract art, fantasy
Krea 2 warmpastel LoRA output — muted minimal sketch style with warm paper texture🔍 Click to zoom

krea2_warmpastel

Muted, minimal sketch style with a warm paper-like feel. The most subtle of the four. Works well as a starting point for further refinement. Suits line art, botanical, and minimalist compositions.

trigger:muted minimalist sketch style
strength:0.8
best for:Character sketches, product visualization, botanical
Warning: FLUX or SDXL LoRAs will not work with Krea 2. LoRAs are model-specific. A LoRA trained on FLUX.1-dev or SDXL will either have no effect or corrupt the output. Only LoRAs specifically trained on Krea 2 RAW are compatible.

How to Write Prompts for Krea 2

Krea 2 prompts are built from short, comma-separated phrases — not full grammatical sentences. Skip old-style keyword stuffing ("masterpiece, 8k, best quality") and skip writing a full paragraph too. The format that actually works sits between the two: 3–6 short phrases, each naming something concrete — an action, a camera angle, a light source, a texture, a named art style.

✗ Vague filler (less effective)

a beautiful warrior in a dark forest, stunning, masterpiece, best quality, highly detailed, 8k

✓ Concrete building blocks (more effective)

female warrior holding a spear, mid-stride through dense forest, low vantage point, golden hour backlight through canopy, raw film grain, monochrome ink wash style

Neither example above is a full sentence. Each is a stack of short phrases separated by commas — that's the format Krea 2 was actually trained to read.

The 6 Building Blocks

Stack these in roughly this order. You don't need all six in every prompt — two or three strong, specific phrases beat five vague ones.

  1. Subject + action — who or what, and what they're doing. Use an active verb: sprinting, pouring, rearing.
  2. Pose / body detail (optional) — a specific physical detail: contrapposto pose, mid-spin, one wing raised.
  3. Camera & framing — angle and shot type: low vantage point, wide angle, close-up.
  4. Lighting / atmosphere — a named light source, not a vague adjective: golden hour backlight, neon spill, foggy blue dusk.
  5. Material / texture cues (optional) — named surfaces: wet asphalt, chrome, raw film grain.
  6. Named style / medium tag — placed near the end: risograph poster style, monochrome ink wash, Pixar-style 3D render.

Short vs. Long Prompts — Both Are Correct

Krea 2 has a built-in prompt enhancer that fleshes out short prompts automatically. A short prompt — subject, action, one style tag, 6–12 words — works fine for most generations and is the right default.

Switch to a longer prompt — stacking four or more phrases across lighting, texture, and composition — only when you need precise control: a specific pose, an exact light source, in-image text, or a brand-accurate look. More phrases give more control, not more "quality."

Word Choice — Do This, Not That

Do

  • Name concrete materials and light sources, not praise words
  • Use real camera and cinematography terms
  • Name an actual medium or art-historical style
  • Keep phrases short, stack them with commas
  • Wrap in-image text in quotes, keep it to a word or two

Avoid

  • Filler words: "beautiful", "stunning", "masterpiece", "8k", "best quality"
  • Full grammatically perfect sentences with conjunctions
  • Stacking more than one named style, unless blending on purpose
  • Negative prompting in the main prompt (e.g. "no blur")

Using LoRA Trigger Words

When using a style LoRA, place the trigger word at the very start of your prompt, followed by a period, then your scene built from comma-separated phrases.

LoRA prompt structure
[trigger word]. [phrase], [phrase], [phrase]

Example — krea2_darkbrush:
monochrome ink wash style. female warrior holding a spear, mid-stride through dense forest, golden hour backlight through canopy, low vantage point

Example — krea2_plasmoid:
ethereal shimmering light style. cyberpunk courier on a glowing hoverbike, weaving through traffic, mid drift turn, rain-slicked neon reflections

The Prompt Enhancer

The default Krea 2 workflow template includes a Prompt Enhancer from the Krea team, enabled by default. It rewrites short prompts into longer, more detailed phrase stacks before generation. Disable it in the workflow only if you're writing a fully detailed long prompt yourself and want exact control over every phrase.

Get the Prompt-Writing Skill File

The building blocks above are packaged into a single skill file — a structured instruction set that teaches Claude or ChatGPT the exact Krea 2 prompt anatomy, the camera/lighting/style word bank, and the do's and don'ts. Download it once, paste it into a Claude Project or a custom GPT, and from then on you just describe your image idea in plain English — the AI returns a ready-to-paste Krea 2 prompt.

🧠 Krea 2 Prompt Writer — Skill File

A ready-made instruction file for Claude or ChatGPT — paste it in once, then just describe your idea.

How to use it: For Claude, add the file to a Project's knowledge or paste it at the start of a chat. For ChatGPT, paste it into a Custom GPT's instructions or at the top of a new conversation. Then describe your idea — e.g. "a girl walking her dog in the rain, cinematic" — and the AI returns a finished Krea 2 prompt using the anatomy above.
Tip: Run a test generation with one of the prompts below before writing your own from scratch. If it produces a clean image, your model files and folder structure are correct — any issue after that is in the prompt, not the setup.

8 Tested Prompts — Ready to Copy

These prompts were tested on the FP8 model at 1280×720 on an RTX 3060. Copy and paste any prompt directly into the prompt node to verify your workflow generates correctly.

🔧 Krea 2 Turbo — Workflow Downloads

Download the ready-to-use ComfyUI workflow JSON. Drag it onto the canvas and generate.

Street Skater — no LoRA
Figure Skater — no LoRA
Goalkeeper — no LoRA
Chef — no LoRA
Street Drummer — krea2_plasmoid LoRA
Warrior Portrait — krea2_darkbrush LoRA
Tip: The two prompts marked "no LoRA" are good first-run verification tests. If they produce clean, non-distorted images, your setup is correct. If they produce black frames or errors, jump to Troubleshooting below.

"Model not found" or red nodes after loading the workflow

The model file is in the wrong folder, or the filename does not match exactly.

  1. Open your file manager and navigate to ComfyUI/models/.
  2. Check that krea2_turbo_fp8_scaled.safetensors is inside diffusion_models/ — not inside checkpoints/ or unet/.
  3. Check that qwen3vl_4b_fp8_scaled.safetensors is inside text_encoders/.
  4. Check that qwen_image_vae.safetensors is inside vae/.
  5. Restart ComfyUI after moving any files. It rescans model folders on startup.

CUDA out of memory error during generation

You are either using the BF16 model on a card with less than 24 GB VRAM, or the resolution is set too high.

  1. Switch to the FP8 model (krea2_turbo_fp8_scaled.safetensors).
  2. Set resolution to 1280×720 or lower in the Control section.
  3. Close any other applications using your GPU before generating — games, other AI tools, video editors.
  4. Restart ComfyUI and try again.

Images look washed out or distorted

The CFG value was changed from the default. Reset CFG to 1.0 in the Sampling section. For Turbo, any value above 2.0 produces flat, oversaturated results.

LoRA has no visible effect on the image

Two causes. First: the trigger word is missing from your prompt — add the exact trigger phrase from the LoRA table to the start of your prompt. Second: the LoRA strength is set too low — set it to at least 0.6. If the LoRA still has no effect, confirm the .safetensors file is inside ComfyUI/models/loras/.

Text encoder error or "unsupported encoder" warning

ComfyUI 0.25.0 added native support for the Qwen3-VL text encoder. If ComfyUI shows an error on the text encoder node, your ComfyUI version is too old. Update ComfyUI following the ComfyUI troubleshooting guide and restart.

All nodes load but generation produces a black image

The VAE file is either missing or in the wrong folder. Confirm qwen_image_vae.safetensors is inside ComfyUI/models/vae/. A missing VAE causes ComfyUI to output black frames.

Missing nodes after loading the workflow

If the workflow loads but some nodes appear as red error blocks with "missing node" labels, ComfyUI Manager can install them automatically. See the install missing nodes guide for step-by-step instructions.

Frequently Asked Questions

Not reliably. Even the FP8 model is 13 GB on disk and requires approximately 12 GB of VRAM to load and sample at any resolution. An 8 GB card will run out of VRAM during sampling. A GGUF-quantized version may allow lower VRAM usage, but none had been officially released at the time of writing.

ComfyUI has limited AMD support through ROCm on Linux. Krea 2 Turbo has not been officially tested on AMD hardware. Results vary significantly by card model and ROCm version. Nvidia GPUs are the only officially supported hardware for this workflow.

No. Once the model files are downloaded, everything runs locally on your GPU. No data is sent to Krea's servers during generation.

No. LoRAs are model-specific. A LoRA trained on FLUX.1-dev or SDXL will not work on Krea 2 and will either have no effect or corrupt the output. Only LoRAs specifically trained on Krea 2 RAW are compatible with Krea 2 Turbo.

At 1280×720 on an RTX 3060 (12 GB), expect 20–40 seconds per image at 8 steps. On an RTX 4080 (16 GB), generation typically completes in 8–15 seconds. Times increase proportionally with resolution.

Krea 2 is released under the Krea AI Community License. Personal and research use is allowed. Commercial use has separate terms — check the official Krea licensing page before using outputs commercially.

These are different models. FLUX.1-Krea-dev (released in 2025) was a collaboration between Black Forest Labs and Krea, built on the FLUX architecture. Krea 2 (released in 2026) is Krea's own model trained entirely from scratch on a different architecture. They share only the Krea name.

No. Turbo generates higher-quality images than RAW for everyday use. RAW produces more diverse outputs but requires 52 steps and is designed specifically for LoRA training. For generating images, always use Turbo.

What to Do Next

Download the workflow. Run a test prompt. Go from there.

Once you get a clean image with default settings, try the style LoRAs one at a time. Once you're comfortable with Krea 2 outputs, the SeedVR2 upscaler takes them to 4K without additional model downloads.

Published: 2026-06-24 · Last updated: 2026-06-24 · Tested on RTX 3060 (12 GB VRAM) and RTX 4080 (16 GB VRAM) · ComfyUI v0.26.0 · Model: krea2_turbo_fp8_scaled.safetensors

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