This is a 3-bit quantized GGUF conversion of the Qwen/Qwen-Image model, released by City96 and mirrored here for convenience. The Q3_K_M variant is optimized for GPUs with at least 10GB VRAM,
Tested VRAM Usage:
Ubuntu, Firefox (8 tabs): ~8.8 - 9.2 GB VRAM (CFG 3, 20 Steps, uni_pc, normal, 5.4s/it)
Windows 11, Brave (1 tab), MiniConda, GGUF excluded from Windows Defender: ~9.6 GB VRAM
Tips: Offload monitor tasks to an integrated GPU to free up VRAM. Runs smoothly on Linux or Windows
Qwen-Image GGUF 3Q_K_M - 10G VRAM is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user sweetmax797. Derived from the powerful Stable Diffusion (Other) model, Qwen-Image GGUF 3Q_K_M - 10G VRAM has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that Qwen-Image GGUF 3Q_K_M - 10G VRAM is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as base model, t2i, text-to-image.
With a rating of 0 and over 0 ratings, Qwen-Image GGUF 3Q_K_M - 10G VRAM is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of Qwen-Image GGUF 3Q_K_M - 10G VRAM from here.
To use Qwen-Image GGUF 3Q_K_M - 10G VRAM, download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like Qwen-Image GGUF 3Q_K_M - 10G VRAM, check out our crash course in AI image generation.
Text encoder for Qwen-Image GGUF 3Q_K_M
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