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HyFU Model V1 Overview: Unleashing Hybrid Functionality in Flux AI
Flux Unchained by SCG
- Author: socalguitarist
- Published: 2024-08-14T17:53:00.922Z
Model Details
- Model ID: 645943
- Model Name: Flux Unchained by SCG
- Model Type: Checkpoint Trained
Model Versions and Download Links
| Version | Base Model | Steps | Epochs | Clip Skip | Trained Words | Name | File Size | Download Link |
|---|---|---|---|---|---|---|---|---|
| HyFU-8-Step-Hybrid-v1.0 | Flux.1 D | None | None | None | HyFU-8-step-v1.0-pruned.safetensors | 11340.41 MB | Link | |
| SchnFU-v1.3-Unet-4step | Flux.1 S | None | None | None | SchnFU-fp8-1.3.0.safetensors | 11340.44 MB | Link | |
| FU_V1_Unet_Only(FP8) | Flux.1 D | None | None | None | FluxUnchained_fp8_unet_only.safetensors | 11350.17 MB | Link | |
| FU(t5_16xfp8_e4m3fn)_v1.1 | Flux.1 D | None | None | None | FluxUnchained_v1.1.0.safetensors | 20829.46 MB | Link | |
| FU(t5_8x8_e4m3fn)_v1.1 | Flux.1 D | None | None | None | FluxVision.d(8x8_e4m3fn)_v1.safetensors | 16287.67 MB | Link |
Introduction to HyFU Model V1
The HyFU Model V1 is an exciting development within the Flux AI ecosystem. Created by merging low-weight LoRA trainings over multiple passes on the base Flux.d model, this hybrid-functionality (HyFU) model is designed to handle NSFW content, including female anatomy, and complex concepts. It’s still a work-in-progress (WIP), with improvements planned, but the results so far are impressive.
The model was trained on a mixture of cinematic stills, art photography, and both explicit and artful nudes. Around 80% of the explicit content is based on photography, while 20% uses AI and illustrations. This gives the model a balanced dataset for producing realistic and stylistic outputs.
How It Works
HyFU uses a hybrid technique where various training passes are combined. It’s based on the flux.1_dev_8x8_e4m3fn-marduk191 model, and operates at FP16 quality (with an option for FP8 if requested). This allows the model to generate highly accurate and detailed images while also keeping the computational demands reasonable.
The model is particularly effective at handling both SFW (safe for work) and NSFW (not safe for work) images. Users have noted that it responds to prompts similarly to the base flux model, making it versatile across different artistic styles.
Model Features
- NSFW Generation: Special focus on generating proper female anatomy and explicit content.
- Balanced Dataset: Trained on 5,000 images with a mix of art and explicit photography.
- FP16 & FP8: Full FP16 model for higher quality, though an FP8 version is available upon request.
- Flexible Prompts: Prompts work similarly to the base flux, allowing for easy use.
Model Versions Explained
HyFU 8-Step Hybrid V1.0
The HyFU 8-step hybrid model is the most popular version due to its balance between speed and quality. It supports more complex compositions and handles realistic poses, which can be tricky for other versions.
- Hybrid 8-Step: Designed to minimize body warping, especially for full-body images, outperforming the quicker, 4-step versions.
Schnell 4-Step Model
The "Schnell" or "quick" version is faster but less robust when handling complex poses or details beyond portraits. It’s great for users who want fast results and are not focused on intricate compositions.
- Schnell 4-Step: Quicker renders, but more limited in its ability to handle detailed poses or full-body shots.
FAQs
Does the model work with male anatomy?
The current focus is heavily on female anatomy, and there have been requests to train the model on both male and female bodies. However, at the moment, it's more suited for female-focused NSFW work.
Does the model work on systems with 8GB VRAM?
Yes, there are ways to run the model on systems with limited VRAM. Users have reported successful results on setups with 6GB or even 3GB VRAM, though you may need to optimize settings like using NF4 or GGUF versions.
Can I remove the background blur or bokeh effect?
Unfortunately, this is a known issue. Negative prompts slow down the generation significantly. Instead of negative prompts, try using descriptors like "cell phone camera, flat focus, wide angle" to reduce the background blur without sacrificing performance.
Does it work with Automatic1111?
While possible, it's recommended to use this model with Forge or ComfyUI for better memory management and overall smoother performance. Some users report severe slowdowns or crashes when trying to run the model in A1111, particularly when adding LoRAs.
Is there a way to speed up the render time?
For faster renders, users can try the LCM sampler with BETA scheduler at 1.0 CFG. This configuration produces good results in as few as 4 steps. Keep in mind that adding LoRAs may slow down the process significantly.
Why am I getting errors in Forge?
If you're encountering "You do not have CLIP state dict!" errors, make sure you have the correct files in your VAE folder, including ae.safetensors, clip_l.safetensors, and t5xxl_fp16.safetensors. These need to be loaded together for the model to work correctly.
Conclusion
HyFU Model V1 is a versatile and evolving tool within Flux AI’s lineup. It shines in generating complex compositions, including NSFW images with proper anatomy, and offers different versions to suit varying user needs. Whether you’re looking for speed or detail, there’s a model version for you. As it's a work-in-progress, expect further improvements and additional features in future updates.