What tasks can Krea 2 image generation help with?

Image generation; PNG images generated through the full Krea 2 Raw open-weight checkpoint; General high-aesthetic text-to-image generations, product concepts, editorial visuals, and broad creative drafts; Prompt, canvas size, full Krea 2 Raw reference settings, seed, and 1-4 candidates; Generate 2K image concepts from natural-language prompts; Use Raw defaults for practical high-quality inference

Which model and keyword entities are connected with Krea 2 image generation?

Krea 2 Raw, krea/Krea-2-Raw, krea-ai/krea-2, Krea 2 open-source release, Krea 2 prompting guide, Ideogram 4, Ideogram 4 tool, ideogram-ai/ideogram-4-nf4

Krea 2 image generation · TelkNet

Image generationGPU workload

Krea 2 image generation

Q: Who is Krea 2 image generation for?

Image generation PNG images generated through the full Krea 2 Raw open-weight checkpoint

General high-aesthetic text-to-image generations, product concepts, editorial visuals, and broad creative drafts

PNG images generated through the full Krea 2 Raw open-weight checkpoint

1-176 credits/useText promptEstimated 300-5400 seconds

Input

Prompt, canvas size, full Krea 2 Raw reference settings, seed, and 1-4 candidates

Output

PNG images generated through the full Krea 2 Raw open-weight checkpoint

Best for

General high-aesthetic text-to-image generations, product concepts, editorial visuals, and broad creative drafts

Models, parameters, and sources

Krea 2 generates images from natural-language prompts. TelkNet runs the full Krea 2 Raw checkpoint with official reference settings.

Krea 2 Raw

Krea 2 Raw is the undistilled checkpoint intended for reference-quality generation and post-training work.

krea/Krea-2-Raw krea-ai/krea-2 Krea 2 open-source release Krea 2 prompting guide

Raw is the undistilled base and is not the recommended fast inference checkpoint.
Official Raw sample settings use 52 steps and CFG 3.5 at 1024px in the model card examples.
The release describes a 12B dense DiT with Qwen Image VAE and Qwen3-VL text encoder components.
Krea 2 Raw is an open-weight release under the Krea community license.
The official prompting guide recommends natural-language prompts, detailed composition, and quoting rendered text.

Model comparison

Model

Role

Why it is used

Output impact

ModelKrea 2 Raw

krea/Krea-2-Raw

RoleHeavier reference path

Why it is usedUseful when you want the undistilled checkpoint behavior or a fine-tuning-style reference baseline.

Output impactPNG image candidates from the Raw checkpoint with higher default step count.

ModelIdeogram 4

Ideogram 4 tool ideogram-ai/ideogram-4-nf4

RoleTypography and design comparison

Why it is usedIdeogram 4 can be better for exact text rendering, logo-like layouts, and poster typography.

Output impactUse the quick link when visible text is more important than general image Elo.

Paper and benchmark notes

Krea 2

GitHub release - 2026

The Krea 2 repository documents the Raw open-weight checkpoint, inference guidance, and local usage.

krea-ai/krea-2

Krea 2 open-source release

Krea release page - 2026

The Krea release page describes the Raw open-weight release and architecture components.

Release page

Official / repositories

krea/Krea-2-Raw krea-ai/krea-2 Krea 2 open-source release Krea 2 prompting guide

Papers / technical notes

No public paper link is listed; use the official repo or runtime implementation as the source.

Parameter guide

Prompt: natural-language description; quote any text that should appear in the image.
Width: 256-2048px, in multiples of 16.
Height: 256-2048px, in multiples of 16, with aspect ratio from 1:6 to 6:1.
Steps: blank uses 52 for full Krea 2 Raw.
CFG: blank uses 3.5 for full Krea 2 Raw.
Mu: blank leaves full Krea 2 Raw without an explicit mu override.
Seed: 0 uses TelkNet's stable automatic seed; click the dice for a random explicit seed.

Use cases

Generate 2K image concepts from natural-language prompts
Use Raw defaults for practical high-quality inference
Switch to Ideogram 4 when typography or exact poster text is the priority

Workflow

1Write a natural-language prompt and choose a supported canvas size
2Use the full Krea 2 Raw checkpoint with reference-quality defaults
3Download every generated PNG from the completed task

Pre-flight checklist

Put visible text in quotes and describe layout plainly
Leave steps, CFG, and mu blank unless you need an explicit override
Credits are recalculated from pixels, variant, steps, and candidate count

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