10 actions in 10 pieces of software · ranked by words, meaning and measured trust · 650 ms
modelrecord
- cjwbw/kandinsky-2-2-controlnet-depth
Kandinsky Image Generation with ControlNet Conditioning
- cjwbw/kandinsky-2-2-controlnet-depth
modelrecord10,866 downloads/month
- text-to-image
Task: text-to-image
- text-to-image
modelrecord
- cjwbw/depth-anything
Highly practical solution for robust monocular depth estimation by training on a combination of 1.5M labeled images and 62M+ unlabeled images
- cjwbw/depth-anything
modelrecord
- lucataco/sdxl-controlnet-depth
SDXL ControlNet - Depth
- lucataco/sdxl-controlnet-depth
modelrecord
- cjwbw/zoedepth
ZoeDepth: Combining relative and metric depth
- cjwbw/zoedepth
modelrecord
- cjwbw/midas
Robust Monocular Depth Estimation
- cjwbw/midas
modelrecord
- jagilley/controlnet-depth2img
Modify images using depth maps
- jagilley/controlnet-depth2img
modelrecord
- ai-forever/kandinsky-2.2
multilingual text2image latent diffusion model
- ai-forever/kandinsky-2.2
modelrecord
- xlabs-ai/flux-dev-controlnet
XLabs v3 canny, depth and soft edge controlnets for Flux.1 Dev
- xlabs-ai/flux-dev-controlnet
MCP serverrecord
- krea2_psx_scrambler_generate
Generate a new image that keeps the 3D structure of an input image. Extracts a depth map from the input image with Depth-Anything-V2 and generates a new image following the same depth/composition but with the content and style described by the prompt (Krea-2-Turbo, 8-step). If a user passes a file a
- krea2_psx_scrambler_generate
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.