LongCat
Collection
Collection of LongCat Models • 6 items • Updated
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("vantagewithai/LongCat-Image-Edit-Turbo-GGUF", dtype="auto")Quick Links
Quantized GGUF Version for ComfyUI
Original model Link: https://huggingface.co/meituan-longcat/LongCat-Image-Edit-Turbo
Watch us at Youtube: @VantageWithAI
Introduction
We introduce LongCat-Image-Edit-Turbo, the distilled version of LongCat-Image-Edit. It achieves high-quality image editing with only 8 NFEs (Number of Function Evaluations) , offering extremely low inference latency.
Key Features
- 🌟 Superior Precise Editing: LongCat-Image-Edit supports various editing tasks, such as global editing, local editing, text modification, and reference-guided editing. It has strong semantic understanding capabilities and can perform precise editing according to instructions.
- 🌟 Consistency Preservation: LongCat-Image-Edit has strong consistency preservation capabilities, specifically scrutinizes whether attributes in non-edited regions, such as layout, texture, color tone, and subject identity, remain invariant unless targeted by the instruction, is well demonstrated in multi-turn editing.
- 🌟 Strong Benchmark Performance: LongCat-Image-Edit achieves state-of-the-art (SOTA) performance in image editing tasks while significantly improving model inference efficiency, especially among open-source image editing models.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-to-image", model="vantagewithai/LongCat-Image-Edit-Turbo-GGUF")