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Repository: localaiLicense: ideogram-non-commercial-model-agreement
Ideogram 4 is a text-to-image diffusion model known for state-of-the-art prompt adherence and exceptional, accurate text rendering inside images. It is driven by a Qwen3-VL-8B text encoder and performs real classifier-free guidance from a separate unconditional diffusion model. This is the iQ4_NL (4-bit) quantization, a good balance of quality and footprint (~5.8GB diffusion + ~5.8GB unconditional). The bundle also pulls the Qwen3-VL-8B-Instruct text encoder and the FLUX.2 VAE. Quantized GGUF weights by stduhpf for use with stable-diffusion.cpp.
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Repository: localaiLicense: ideogram-non-commercial-model-agreement
Ideogram 4 is a text-to-image diffusion model known for state-of-the-art prompt adherence and exceptional, accurate text rendering inside images. It is driven by a Qwen3-VL-8B text encoder and performs real classifier-free guidance from a separate unconditional diffusion model. This is the Q8_0 (8-bit) quantization for highest quality (~10.1GB diffusion + ~10.1GB unconditional). The bundle also pulls the Qwen3-VL-8B-Instruct text encoder and the FLUX.2 VAE. Quantized GGUF weights by stduhpf for use with stable-diffusion.cpp.
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