Comment installer Krita AI Diffusion
Generative AI inside the free Krita painting program: paint, mask and generate on layers with live preview.
Plugins pour d’autres logiciels
Windows
Mac
Linux
Licence : GPL-3.0
Qu’est-ce que Krita AI Diffusion ?
Krita AI Diffusion is a free, open source plugin that brings Stable Diffusion, SDXL and Flux into Krita, the open source painting application. It adds a docker where you type a prompt and generate into a layer, inpaint a selection, extend the canvas, upscale, or use Live mode, which repaints the picture as you draw. Under the hood it drives a ComfyUI server, which the plugin can install for you or connect to remotely.
Perfect for artists who already paint in Krita or Photoshop-like tools and want AI as a brush, not a separate website. It needs a decent GPU locally or a ComfyUI server elsewhere.
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BitVector Prism est la façon la plus simple de commencer : choisissez un modèle, tapez un prompt et générez dans une application web épurée, sans rien configurer. BitVector est aussi disponible sur Discord et sur le web (SpyGlass).
Ce qu’il vous faut
Krita 5.2 or later on Windows, Linux or macOS. For local generation: an NVIDIA GPU with 6 GB VRAM or more (12 GB for Flux); AMD on Linux with ROCm; Apple Silicon Macs work with MPS. Around 10 GB for the managed ComfyUI server plus models.
Comment obtenir et installer Krita AI Diffusion
- Install Krita from krita.org if you do not have it.
- Download the plugin ZIP from the GitHub releases page. In Krita, choose Tools > Scripts > Import Python Plugin from File and pick the ZIP, then restart Krita.
- Enable the plugin under Settings > Configure Krita > Python Plugin Manager if it is not already, and open the AI Image Generation docker (Settings > Dockers).
- In the docker, choose Local Managed Server and press Install: the plugin downloads ComfyUI and the required models (several gigabytes). Alternatively, connect to an existing ComfyUI by address.
- Pick the model packages you want (SD 1.5, SDXL, Flux) in the server settings; you can also point the plugin at an existing models folder.
Téléchargez uniquement depuis les liens officiels de cette page. Les installateurs trouvés ailleurs peuvent être obsolètes ou modifiés. ModelTrends.ai n’héberge aucun fichier.
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Comment utiliser Krita AI Diffusion
- Create a new document, write a prompt in the docker and press Generate. The result appears as a new layer; keep the version you like.
- Make a selection and press Generate to fill or change only that region (inpainting), using your prompt and the surrounding image.
- Enlarge the canvas (Image > Resize Canvas), select the empty area and generate to outpaint.
- Switch to Live mode, pick a strength and start painting rough shapes: the AI repaints them in real time as you draw.
- Open the style settings to choose the checkpoint, add LoRAs with weights (and their trigger words from the model page) and set the sampler.
- Use Control layers (pose, depth, canny, scribble, reference) to guide the result from another layer of your document.
Conseils et problèmes courants
- Styles let you save a checkpoint, LoRAs and prompt prefixes under a name; create one per look you use often.
- If Krita cannot connect to the server, check the server tab in the docker for the log; most problems are a model download that did not finish.
- Live mode is fastest with SD 1.5 or a lightning SDXL model; set a lower resolution while sketching and upscale at the end.
- You can use a ComfyUI running on another PC or a rented GPU: set its address in the connection settings.
Modèles utilisables dans Krita AI Diffusion
Krita AI Diffusion runs Stable Diffusion 1.5, SDXL and Flux checkpoints and LoRAs from this catalog, plus the ControlNet and IP-Adapter models it installs. Video models are not supported.
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Aucune installation requise – exécutez les modèles IA dans le cloud
Pas de GPU, pas de téléchargement, pas de Python. Ces services exécutent les mêmes modèles open source sur leurs propres serveurs : vous générez depuis un navigateur, Discord ou Telegram en une minute.
Liens
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