OmniGen2: Text to Image
Generate high-quality images from text prompts using OmniGen2's unified 7B multimodal model with dual-path architecture.
概要
This workflow demonstrates a minimal, fast path from text prompt to finished image using OmniGen2’s unified 7B multimodal model. A single OmniGen2 node (custom node id 4b17d220-4312-4981-9eae-9a76bf3b6ec9) ingests your prompt, encodes it with the Qwen2.5-VL text encoder, and produces a high-quality image without the complexity of diffusion samplers or long node chains. The output is then passed to SaveImage for consistent file naming and export, while a MarkdownNote provides in-canvas guidance and links to the official docs.
入力するもの
- ワークフローを読み込み中
ComfyUI で実行できます。 このワークフローはこのページでは実行できません。すべてが読み込まれた状態でComfy Cloudで開くか、ご自身のComfyUI用にダウンロードしてください。
Cloudで試すよくある質問
Place qwen_2.5_vl_fp16.safetensors in ComfyUI/models/text_encoders. If you’re using the repackaged OmniGen2 weights from Hugging Face, follow their folder structure and naming exactly.
Set width and height in the OmniGen2 node. Common pairs are 1024x1024 (square), 1344x768 (16:9), or 832x1216 (2:3). Higher resolutions require more VRAM, so increase gradually.
Use a fixed seed value in the OmniGen2 node. To explore variations, either change the seed slightly or enable batch/count to generate multiple outputs in one pass.
If your OmniGen2 node exposes a negative_prompt input, use it to steer away from undesired elements. If not, phrase constraints directly in your prompt (e.g., “no text, minimal background, without watermark”).