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View details ↗MiniMax-H3_GGUFs
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View details ↗This repository provides quantized **GGUF** checkpoints for Qwen/Qwen-Image-2.1, optimized for low-VRAM inference in **ComfyUI** using the ComfyUI-GGUF custom node. Quantizing the diffusion transformer drastically reduces memory pressure during generation while preserving sharp detail, composition, and prompt alignment. 1. **Text Encoders:** * Download from: Comfy-Org/Qwen-Image-2.1 Text Encoders * Place files into: `ComfyUI/models/clip/` (or `ComfyUI/models/text_encoders/`)
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View details ↗Repackaged model files for ComfyUI, with INT4 ConvRot converted for testing in Radiant Canvas for fast macOS inference (https://apps.apple.com/us/app/radiant-canvas-ai-image-gen/id6802973075) The INT4 ConvRot files use ComfyUI's native ConvRot W4A4 format. Use a recent ComfyUI build and load them with the standard diffusion model and text encoder loaders.
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View details ↗No matching models
Adjust provider, category or input/output filters. New models are added continuously.
COST EXPLORER
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Compares base text-token rates within the same channel
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