Stable Diffusion オンラインAI

プロンプトとは？

プロンプトは、生成したい画像を説明する通常350文字以内（75トークン）の文です。

ネガティブプロンプトは、生成された画像に表示されるべきでないものを指定する簡単な方法です。

What is a negative prompt ?

A negative prompt is a list of words or concepts you want Stable Diffusion to avoid in the generated image. While the regular prompt describes what you want, the negative prompt acts as a filter — steering the model away from unwanted elements such as artifacts, deformations, or specific styles. Common entries include terms like blurry, bad anatomy, extra fingers, watermark, low quality, ugly.

Negative prompts work through classifier-free guidance: the model simultaneously moves toward your prompt and away from the negative prompt, with the CFG scale controlling how strongly both signals are applied. Note that Flux models largely make negative prompts obsolete — their improved architecture handles quality and anatomy natively, so prompt adherence alone is usually sufficient.

How does mentioning an artist influence the result ?

Adding an artist's name to your prompt biases the model toward their visual signature — brushwork, color palette, composition, lighting style, and level of detail. This works because Stable Diffusion was trained on large labeled datasets that include artworks attributed to specific artists. For example, adding Greg Rutkowski tends to produce highly detailed fantasy illustrations, while Monet shifts the output toward soft impressionist textures.

Not all artists carry the same weight in the model — some are strongly represented in the training data, others barely influence the output. The effect also varies between model versions: an artist well-recognized by SD 1.5 may be less prominent in SDXL or Flux. Explore hundreds of artist style comparisons on our dedicated artist reference page to find the styles that best match your creative vision.

シードとは何ですか？

シードは作成プロセスを開始する番号です。この番号を自分で作成する必要はなく、選択しない場合はランダムに作成されます（通常は-1を選択します）。

しかし、シードを制御すれば、同じ画像を再作成したり、異なる設定を試したり、プロンプトを変更したりできます。

LoRAとは？

LoRAはLow Rank Adaptationを意味します。ベースモデルを調整する小さな拡張セットです。

特定のスタイルやトピックに合わせてStable Diffusionを調整するために使用できます。異なる重みで1つのプロンプトに多くのLoRAを混ぜることができます。これにより、無限の創造の可能性が開かれます。

Stable Diffusionをローカルにインストールできますか？

はい！少なくとも6GBのメモリ（NVRAM）を持つGPUが必要です。

コミュニティによって訓練されたカスタマイズされたモデルを使用したり、LoRAで結果を微調整したり、さらに多くのことができます。

How to install Stable Diffusion locally ?

What is ComfyUI ?

ComfyUI is a node-based graphical interface for Stable Diffusion. Rather than a traditional form, it lets you build image generation pipelines visually by connecting nodes — each node handles one specific step: loading a model, encoding a prompt, sampling, or decoding the image. This makes the entire process transparent and fully customizable.

Compared to Automatic1111, ComfyUI offers more granular control over the generation pipeline and is generally faster, at the cost of a steeper learning curve. It supports all major models: SD 1.5, SDXL, Stable Diffusion 3, and Flux. The ecosystem is extended via ComfyUI Manager, which lets you install hundreds of community custom nodes directly from the interface. Download it from the official ComfyUI GitHub repository.

What is Flux ?

Flux is a state-of-the-art text-to-image model released in 2024 by Black Forest Labs, founded by former Stability AI researchers. It significantly outperforms SDXL in prompt adherence, photorealism, and — notably — the ability to render legible text inside generated images, a long-standing weakness of previous diffusion models.

Flux comes in three variants: FLUX.1-schnell (fastest, Apache 2.0 license), FLUX.1-dev (higher quality, open weights for non-commercial use), and FLUX.1-pro (best quality, API only). The open variants are available on Hugging Face and run locally via ComfyUI or Automatic1111 with the appropriate extension.