FLUX.1 dev-fp16 GGUF

This is the direct GGUF conversion of black forest-labs/FLUX.1-dev. The binary format can be used with low VRAM, theoretically even with 6GB. ... Reposted from city96: <a href="https://huggingface.co/city96/FLUX.1-dev-gguf" target="_blank">https://huggingface.co/city96/FLUX.1-dev-gguf</a>If you attempt to convert it yourself, please refer to the GGUF documentation: <a href="https://github.com/intel/neural-speed/blob/main/neural_speed/convert/convert_chatglm.py#L148" target="_blank">https://github.com/intel/neural-speed/blob/main/neural_speed/convert/convert_chatglm.py#L148</a> As this is a quantized model, not fine-tuned, all original model restrictions/licensing terms still apply. The model files need to be used together with the ComfyUI-GGUF custom nodes. Place the model files in ComfyUI/models/unet - see the GitHub readme for further installation instructions &nbsp;<a href="https://github.com/city96/ComfyUI-GGUF" target="_blank">https://github.com/city96/ComfyUI-GGUF</a>. Refer to this chart for a basic overview of quantization types: <a href="https://github.com/ggerganov/llama.cpp/blob/master/examples/perplexity/README.md#llama-3-8b-scoreboard" target="_blank">https://github.com/ggerganov/llama.cpp/blob/master/examples/perplexity/README.md#llama-3-8b-scoreboard</a>.

flux1-dev-F16.gguf

Files with SHA256: c0a28d5ed1d9b57d06778ebb4b16f0f12c5607ee02498411ba2cccd270cbb70a