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dsh-image-studio

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dsh-image-studio Β· v0.1.7 Β· MIT Β· Web UI

DeepSeek Harness plugin: local text-to-image with a canvas-style GUI, inpainting, DeepSeek vision review, OpenAI-compatible API option, and a Python Stable Diffusion worker (diffusers/MPS).

Install

dsh plugin add dsh-image-studio

Confirm the layer applied with dsh --profile default --dump-config β€” see the install guide.

Source

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Readme

dsh-image-studio

Language: English · Česky

DeepSeek Harness plugin for local text-to-image and image editing, with a settings GUI and a model-callable dsh_image tool.

Features

  • Generate images from a prompt β€” locally via Stable Diffusion (diffusers + PyTorch MPS on Apple Silicon) or an OpenAI-compatible image API.
  • Inpaint β€” edit a region of an existing image using a mask.
  • Review β€” check a generated image with a vision model: the DeepSeek vision API (deepseek-v4-flash-vision-exp) or a local Ollama vision model (qwen2.5vl:3b).
  • Settings section "Image Studio" β€” backend, model, API key, vision model, and generation parameters.
  • Cooperates with dsh-resource-guard: local generation reserves memory first.

Requirements (local backend)

  • macOS with Apple Silicon (MPS) or a CPU-only fallback.
  • python3 on PATH (creates ~/.dsh/image-studio-venv automatically).
  • First local run downloads model weights (runwayml/stable-diffusion-v1-5, runwayml/stable-diffusion-inpainting).

Install

dsh plugin --profile web add dsh-image-studio

Then add dsh-image-studio to dsh.profile.bundles and dependencies in ~/.dsh/profiles/web/package.json, and run dsh plugin --profile web install.

Usage

Ask the agent:

  • dsh_image action=generate prompt="a lighthouse at dusk" β€” generate locally.
  • dsh_image action=inpaint prompt="a red door" image=/abs/img.png mask=/abs/mask.png β€” edit a region.
  • dsh_image action=check image=/abs/img.png β€” vision review.

Outputs are written to ~/.dsh/image-studio-outputs/.

Settings

Field Default Meaning
backend local local (Stable Diffusion) or api (OpenAI-compatible).
model runwayml/stable-diffusion-v1-5 Local model id or API image model.
apiBaseUrl https://api.openai.com/v1 API base URL (backend api).
apiKey `` Bearer token (backend api / vision).
visionBackend deepseek deepseek or local.
visionModel deepseek-v4-flash-vision-exp Vision model id.
steps / guidanceScale / width / height 25 / 7.5 / 512 / 512 Generation parameters.

Architecture

  • Host (lib/index.js) β€” spawns worker/image_worker.py (a stdlib HTTP server on 127.0.0.1:7861) into ~/.dsh/image-studio-venv, calls its /generate and /inpaint endpoints, and implements the vision review.
  • Client (lib/client.js) β€” settings.section with configuration, prompt input, and Generate / Inpaint / Review buttons (via the action namespace).

License

MIT