GGUF: HyperFlux 16-Steps (Flux.1 Dev + ByteDance HyperSD LoRA)
Q8_0
nakif0968
Warning: This is the 16-step model. The faster 8-step model can be found HERE
[Note: Unzip the download to get the GGUF. Civit doesn't support it natively, hence this workaround]
A merge of Flux.D with the 16-step HyperSD LoRA from ByteDance - turned into GGUF. As a result, you get an ultra-memory efficient and fast DEV (CFG sensitive) model that generates fully denoised images with just 16 steps while consuming ~6.2 GB VRAM (for the Q4_0 quant). Also, the quality is pretty close to the original DEV model with ~30 steps.
Advantages
Quality similar to the original DEV model, while requiring only ~16 steps.
Better quality and expressivity than the 8-step HyperFlux in general.
For the same seed, the output image is pretty similar to the original DEV model, so you can use it to do quick searches and do a final generation with the dev model.
Sometimes you might even get better results than the DEV model due to serendipity :) .
Disadvantage: requires 16 steps.
Which model should I download?
[Current situation: Using the updated Forge UI and Comfy UI (GGUF node) I can run Q8_0 on my 11GB 1080ti.]
Download the one that fits in your VRAM. The additional inference cost is quite small if the model fits in the GPU. Size order is Q4_0 < Q4_1 < Q5_0 < Q5_1 < Q8_0.
Q4_0 and Q4_1 should fit in 8 GB VRAM
Q5_0 and Q5_1 should fit in 11 GB VRAM
Q8_0 if you have more!
Note: With CPU offloading, you will be able to run a model even if doesn't fit in your VRAM.
All the license terms associated with Flux.1 Dev apply.
PS: Credit goes to ByteDance for the HyperSD Flux 16-steps LoRA which can be found at https://huggingface.co/ByteDance/Hyper-SD/tree/main
What is GGUF: HyperFlux 16-Steps (Flux.1 Dev + ByteDance HyperSD LoRA)?
GGUF: HyperFlux 16-Steps (Flux.1 Dev + ByteDance HyperSD LoRA) is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user nakif0968. Derived from the powerful Stable Diffusion (Flux.1 D) model, GGUF: HyperFlux 16-Steps (Flux.1 Dev + ByteDance HyperSD LoRA) has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that GGUF: HyperFlux 16-Steps (Flux.1 Dev + ByteDance HyperSD LoRA) is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as base model, basemodel, hypersd.
With a rating of 0 and over 0 ratings, GGUF: HyperFlux 16-Steps (Flux.1 Dev + ByteDance HyperSD LoRA) is a popular choice among users for generating high-quality images from text prompts.
Can I download GGUF: HyperFlux 16-Steps (Flux.1 Dev + ByteDance HyperSD LoRA)?
Yes! You can download the latest version of GGUF: HyperFlux 16-Steps (Flux.1 Dev + ByteDance HyperSD LoRA) from here.
How to use GGUF: HyperFlux 16-Steps (Flux.1 Dev + ByteDance HyperSD LoRA)?
To use GGUF: HyperFlux 16-Steps (Flux.1 Dev + ByteDance HyperSD LoRA), download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like GGUF: HyperFlux 16-Steps (Flux.1 Dev + ByteDance HyperSD LoRA), check out our crash course in AI image generation.
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Version Q8_0: 1 File
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