1Kdl/month
60likes
Identifier
Model ID
lllyasviel/sd-controlnet-depthTags
diffuserssafetensorsartcontrolnetstable-diffusionimage-to-imagearxiv:2302.05543base_model:runwayml/stable-diffusion-v1-5base_model:adapter:runwayml/stable-diffusion-v1-5license:openrailregion:us
Use sd-controlnet-depth on Mixpeek
Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.
Open StudioHow It Runs on Mixpeek
On Mixpeek, sd-controlnet-depth runs as a managed extractor inside a processing pipeline. Point a bucket of image to image data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.
Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.
Specification
Organizationlllyasviel
TaskImage To Image
Librarydiffusers
Licenseopenrail
Downloads/mo1K
Likes60
View on HuggingFace
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