Instructions to use vantagewithai/FireRed-Image-Edit-1.1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vantagewithai/FireRed-Image-Edit-1.1-GGUF with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vantagewithai/FireRed-Image-Edit-1.1-GGUF", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Quantized GGUF Versions of FireRed-Image-Edit-1.1
Original model Link: https://huggingface.co/FireRedTeam/FireRed-Image-Edit-1.1
Watch us at Youtube: @VantageWithAI
π€ HuggingFace Model | π€ LoRA Zoo | π₯οΈ Demo | π Technical Report
π₯ FireRed-Image-Edit-1.1
We introduce FireRed-Image-Edit-1.1, an upgrade to our general-purpose image editing foundation model. Building upon the capabilities presented in the FireRed-Image-Edit-1.0 Technical Report, version 1.1 significantly enhances identity consistency, multi-image conditioning, and domain-specialized editing performance, bringing the model closer to real-world creative production needs.
β¨ What's New
- Stronger Identity Consistency β Substantially improved facial and character consistency during edits, with better texture stability and reduced identity drift in portrait and cosmetic scenarios.
- Enhanced Multi-Image Injection β Native support for multi-image conditioning enables more reliable identity transfer, reference-guided editing, virtual try-on, and group photo composition.
- Artistic Typography (CoverCraft) β Improved decorative font rendering and stylized text generation for cover design, poster creation, and expressive title layouts while preserving structural clarity.
- Professional Makeup Editing (Makeup LoRA) β Refined cosmetic editing capabilities including skin enhancement, color harmonization, and detailed eye and lip adjustments, with strong realism and identity preservation.
- High-Speed Distilled Variant (Lightning 8-step) β An optimized 8-step distilled model that significantly reduces inference latency while maintaining strong instruction alignment and visual coherence.
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Model tree for vantagewithai/FireRed-Image-Edit-1.1-GGUF
Base model
FireRedTeam/FireRed-Image-Edit-1.1