This repository contains the **FP8 quantized version** of the Qwen-Image-Edit-2511 model. It is designed for efficient inference while maintaining high-quality image editing capabilities. **Qwen-Image-Edit-2511 Enhances Character Consistency** In Qwen-Image-Edit-2511, character consistency has been significantly improved. The model can perform imaginative edits based on an input portrait while preserving the identity and visual characteristics of the subject. **Improved Multi-Person Consistency** While Qwen-Image-Edit-2509 already improved consistency for single-subject editing, Qwen-Image-Edit-2511 further enhances consistency in multi-person group photos—enabling high-fidelity fusion of two separate person images into a coherent group shot:
Feed a frame, direct the next shot. This LoRA teaches **Qwen-Image-2.1** cinematic scene continuation: it takes an input image and a director-style instruction and generates the *next scene* — camera moves, reveals, lighting shifts — while keeping the world, characters and style consistent. Chain outputs into storyboards. This is the **Qwen-Image-2.1 port of the next-scene format** pioneered by lovis93/next-scene-qwen-image-lora-2509 (313K downloads on the 2509 edit model) — retrained natively on the newest Qwen image base, where this capability did not exist yet. Companion piece to akhaliq/Qwen-Image-2.1-Multiple-Angles-LoRA (camera control) — together they cover *where the camera is* and *where the story goes next*. **ComfyUI:** load in any Qwen-Image-2.1 workflow with a LoRA node (strength **0.7–0.9**), pass your image as the edit/reference input.
This repository hosts an improved Inpainting ControlNet checkpoint for the alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Alpha model, developed by the AlimamaCreative Team. 1. **1024 Resolution Support**: Capable of directly processing and generating 1024x1024 resolution images without additional upscaling steps, providing higher quality and more detailed output results. 2. **Enhanced Detail Generation**: Fine-tuned to capture and reproduce finer details in inpainted areas. 3. **Improved Prompt Control**: Offers more precise control over generated content through enhanced prompt interpretation. The following images were generated using a ComfyUI workflow (click here to download) with these settings: `control-strength` = 1.0, `control-end-percent` = 1.0, `true_cfg` = 1.0
BFS is a collection of LoRAs for face, head, and body replacement across Qwen Image 2.1, Qwen Image Edit 2509/2511, Flux 2 Klein, Krea 2, and experimental LTX-2 workflows. Each release has its own base-model, input-order, prompt, and workflow contract. Use the guide for the exact version you are loading. - BFS Head V1 / V1.1 for Qwen Image 2.1 - BFS Body Swap V1.0 for Qwen Image 2.1 - Qwen Image Edit 2509/2511 - Flux 2 Klein - Krea 2 - Experimental LTX-2 weights - Use the LoRA with its matching base model whenever possible. - Follow the input order in the version guide; several BFS head releases intentionally use body first and reference face second. - Start at LoRA strength `1.0`, then adjust for the base model, resolution, and reference image. - The examples and workflows in this repository are demonstrations, not a guarantee of identical results on every image. - Do not use or share results involving public figures or people who have not given consent.
The **FLUX Uncensored LoRA v2** is an enhanced version of the original FLUX Uncensored LoRA, designed for the base model `black-forest-labs/FLUX.1-dev`. This version addresses issues present in the previous release and offers improved performance and stability. The LoRA weights have been fine-tuned to remove the base model's content restrictions, allowing for the generation of NSFW (Not Safe For Work) and other uncensored content. This LoRA extension can be loaded into the `FLUX.1-dev` pipeline using the `diffusers` library. It is optimized for high-quality, explicit image generation based on user-provided prompts. The model is intended for research and personal use, and adheres to the non-commercial license terms. > **Warning:** This model allows the generation of explicit content. Users should exercise caution and adhere to legal and ethical guidelines.
- **Finetuned from model:** Qwen/Qwen-Image-Edit-2509 - **Model type:** LoRA - **License:** MIT This model was made for 🔥AutoWeeb, the AI anime creator. Works well with simple prompts and high-resolution photos. Try **"transform into anime"**.
Adjust provider, category or input/output filters. New models are added continuously.
COST EXPLORER
Great models. Clear costs.
Cost analysis
Adjust monthly token usage to compare estimated API costs.
1 M = 1 million tokens · USD Compares base text-token rates within the same channel
Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.
MODEL HANDBOOK
Understand before you choose
Selection guide & FAQ
How should API prices be compared?+
Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.
Do open weights mean free commercial use?+
Not necessarily. Check each version’s license, commercial restrictions and policies. Self-hosting also incurs compute and maintenance costs.
Is the top-ranked model the best for me?+
Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.
