Install
openclaw skills install @runtanplan22/dezgo-img-genGenerate and edit images via freegen container: TXT2IMG, IMG2IMG, Inpainting, RemoveBG, Upscale. Flux, SDXL, SD1.5 models.
openclaw skills install @runtanplan22/dezgo-img-genGenerate images via the local freegen container at http://freegen:3000.
Required fields: prompt, category (or model for flux/backwards compat)
| category | Description | Model param |
|---|---|---|
flux | Fast everyone-model | none needed |
sdxl | High-res SDXL | dreamshaperxl_1024px, juggernautxl_1024px, ponyxl_6 |
sd1 | SD 1.5 many models | realistic_vision_5_1, deliberate_2, juggernaut_reborn |
sdxl2 | Lightning fast | juggernautxl_10_hyper, dreamshaperxl_lightning |
i2i | Image-to-image | realistic_vision_5_1, dreamshaper_8 |
inpaint | Fill area (mask) | SD 1.5 inpainting |
inpaint_sdxl | Fill area (SDXL) | SDXL inpainting |
textinpaint | Fill by description | dreamshaper_8_inpaint |
controlnet | Structure-guided | canny, hed, openpose, depth |
edit | Edit image | SD 1.5 |
removebg | Remove background | none |
upscale | Upscale 2x-4x | none |
Flux (fast, no model selection needed):
{"prompt": "a cute cat", "model": "flux", "width": 1024, "height": 1024}
SDXL (with model selection):
{"prompt": "portrait of a woman", "category": "sdxl", "model": "juggernautxl_1024px", "width": 1024, "height": 1024}
IMG2IMG:
{"prompt": "red dress", "category": "i2i", "model": "realistic_vision_5_1", "init_image": "data:image/png;base64,..."}
{"category": "removebg", "init_image": "data:image/png;base64,..."}{"category": "upscale", "init_image": "data:image/png;base64,...", "scale": 2}{"category": "inpaint_sdxl", "prompt": "filling item", "init_image": "data:image/png;base64,...", "mask_image": "data:image/png;base64,..."}{"category": "textinpaint", "mask_prompt": "shirt", "prompt": "blue shirt", "init_image": "data:image/png;base64,..."}width, height – image dimensionssteps – quality vs speed (flux: 4, sdxl: 20-30, sd1: 20-30)guidance – prompt adherence (default 7, sdxl2 lightning: 2)seed – reproducible resultssampler – auto, dpmpp_2m_karras, euler, etc.Returns JSON: {success, file, url, size, elapsed, cost, balance, model, sub_model}
Lists available models for each category.
Container health check.