1Kdl/month
120likes
Identifier
Model ID
sanaka87/ICEdit-MoE-LoRATags
diffusersartimage-to-imageendataset:osunlp/MagicBrushdataset:TIGER-Lab/OmniEdit-Filtered-1.2Marxiv:2504.20690base_model:black-forest-labs/FLUX.1-Fill-devbase_model:finetune:black-forest-labs/FLUX.1-Fill-devlicense:apache-2.0region:us
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Open StudioHow It Runs on Mixpeek
On Mixpeek, ICEdit-MoE-LoRA 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
Organizationsanaka87
TaskImage To Image
Librarydiffusers
Licenseapache-2.0
Downloads/mo1K
Likes120
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