Flux1-Dev FP8&NF4&GGUF 6 steps, Hybrid 4 steps - LORA models版本FinesseV2PF16LORA (ID: 1085688)

**Please, read the correspondent "About this version" for the model you download**

Flux1-Hybrid: Blending Dev's Realism with Schnell's Speed and Improved Prompt Adherence

Introduction:

Introduce your new diffusion model, highlighting its unique combination of realism, speed, and prompt adherence. Emphasize the benefits of using this model compared to other popular options like Dev and Schnell. it is perfect for users with limited computational resources who want to generate high quality images quickly.

Key Features:

4-step generation: Produces high-quality images in a fraction of the time compared to many other models.

Enhanced prompt adherence: Accurately captures the nuances of your prompts, resulting in more relevant and creative outputs.

Photorealistic quality: Achieves a level of realism that rivals Dev, while maintaining the versatility of Schnell.

CFG sensitivity: Provides fine-grained control over image generation through the CFG scale.

Comparison with Other Models:

Create a detailed comparison table:

Feature Flux1-Hybrid Dev Schnell

Prompt Adherence Excellent Very Good Good

Realism High Very High Medium

Versatility High High High

Efficiency High (4 steps) Low Medium

Lighting Quality Very Good Excellent Good

Detail High Very High Medium

Artistic Style Diverse Realistic Artistic

Analysis:

Prompt adherence: Our hybrid model consistently generates images that closely align with the provided prompts, outperforming Dev in this regard.

Realism: While Dev excels in photorealism, our model offers a more balanced approach, combining realistic elements with artistic flair.

Efficiency: The 4-step generation process makes our model significantly faster than Dev, without compromising on quality.

Versatility: Our hybrid is capable of producing a wide range of styles, from photorealistic portraits to abstract art.

Inference Time: Intel I5, 32 RAM, Nvidia 3060 12Gb, 45s (same settings, dev, 2m42s). tested with SwarmUI working on ComfyUI.

Caveat: The time of generation of images is measured with the model preloaded. From the click on generate button until the image ends. The model first makes an initial image, which is then refined in 4 steps, the 4 steps last much less than the generation of the initial image.

How to Use:

Recommended settings: Random seed, CFG=1 (0.8-1.2) range, sampler: Euler, Scheduler: Normal/Simple, in the examples Resolution: 5:8 (768x1216).

Clip,T5 encoders and vae are incorporated with Kijai Flux1-FP8. It´s recommended to use --lowvram interface flag to pass the handle of encoders to CPU

Limitations: the range of CFG for non distorted images is narrow. Realistic images are affected by CFG, abstract and landscapes not the same, so for images without humans, in dark images you can raise CFG, and for shinny ones you can lower it a bit more CFG (0.6-1.4). There´s no FluxGuidance as in dev model. Text is an issue to solve.

Acknowledgements:

Thank the teams: Express gratitude to the Black Forest Labs team for creating Flux1 and the ComfyUI community for their valuable insights.

License: CC BY-NC 4.0, No commercial

The following photos contain each one a workflow to generate an image with Hybrid models, Baked and NoBaked versions, and save it in ComfyUI/Output directory. Just click and drag the image to the ComfyUI desktop to see the respective workflow.

https://cdrive.page.link/KcLFPz9evDfMHgWA7

https://cdrive.page.link/aTwDun5S6KLjt8Cu7

FLUX.1 is a powerful tool, but the results may vary depending on the complexity of the prompt and the parameters used. Have fun experimenting and creating your own artwork!

Up: Flux1 Dev, Down: Flux1 Hybrid

Prompt: portrait photography of a alien supermodel, with glitter makeup.

Seed:1826245848, Dev: 25 steps, Guidance 3.5, CFG 1, Sampler Euler, Scheduler Normal/Simple, Hybrid: 4 steps, CFG 1, Sampler Euler, Scheduler Normal/Simple

Up. flux1 Dev. Down: Hybrid

Prompt: Devil woman wearing headphones, in the style of mysterious abstractions, double exposure, bathed in vibrant neon colors. Face illuminated by a kaleidoscope of electric hues - cyan, magenta, yellow, and emerald green. Striking contrast between cool blues and warm oranges across the features. Iridescent, glitter-like particles scattered over the skin, creating a cosmic effect. Piercing eyes with multicolored reflections

Seed:1959765719 Dev: 25 steps, Guidance 3.5, CFG 1 Sampler Euler, Scheduler Normal/Simple, Hybrid: 4 steps, CFG 1, Sampler Euler, Scheduler Normal/SimpleUP: Flux1 Dev Down: Flux1 Hybrid

prompt: (1girl, pale white skinny 18 year old redhead nurse, white nurse outfit, short skirt,white stockings deep cleavage, very big juicy ass and wide hips, blue eyes, thick thighs, very very big natural milky jiggly breasts. curvy milf body, wavy black and red hair, pawg, fat ass, huge ass, cleavage, massive tits, huge breasts, detailed face, heavy breasts, horny face, mssv breasts), hospital, playfull, posing, horny look, bubble butt, posing for a photo,photorealistic, 8k uhd natural lighting, raw, rich, intricate details, key visual, atmospheric lighting, 35mm photograph, film, bokeh, professional, 4k, highly detailed, cinematic, colorful hospital background, 8k, dramatic lighting, highly detailed, hyper realistic, intricate, intricate sharp details,realistic, high resolution,

Seed: 1176787681 Dev: 25 steps, Guidance, 3.5 CFG 1, Sampler Euler, Scheduler Normal/Simple, Hybrid: 4 steps, CFG 1, Sampler Euler, Scheduler Normal/Simple

UP: Flux1 Dev Down: Flux1 Hybrid

prompt: eye catching, Bombshell beauty, Honey wild hair,

Silky long legs high heels Swedish Lounge Spunky Leather

Portrait of beauty Elegant lady in sheer dress and vintage clothing,

Bone corset

Seed: 726579420 Dev: 25 steps, Guidance 3.5 CFG 1, Sampler Euler, Scheduler Normal/Simple, Hybrid: 4 steps, CFG 1, Sampler Euler, Scheduler Normal/Simple

Dev is excelent doing images of thin models women at the price of prompt adherence.

描述:

How to generate images:

• Base Model + Finesse LORA: For more customization, combine the base model (Flux1-Dev-FP8) with the FinesseV2 LORA. Think of the LORA as a special ingredient that gives the images a unique style.

Why use the LORA?

• Save space: The LORA is much smaller than the full model. So you don´t have to repeat and reapeat downloading checkpoints or unets. The specialiced information added to a base model only needs to stay in a smaller LORA

• More flexibility: Experiment with different styles by combining the LORA with other base models (Flux1-dev-fp8 checkpoints). If you use ComfyUi you can make a unet, just use two nodes, LoadCheckpoint to load flux1-de-fp8 and ModelSave to save the unet, just link only the model points from both

• Something you can´t do with checkpoints and unets, you can play with the strength of the lora. For some features you can enhance the image, e.g, make a woman more curvy (1.2 is enough)

Using the Flux1.Dev base model you prefer wheather checkpoint or unet and the Finesse LORA together saves you space in disk and makes it easier to experiment with different styles. It's like having a modular system where you can customize your cake with different toppings

This is an attempt to distribute a modification of a basic model in the LORA format instead of a full trained or merged model. Every time we download a trained model, for each model we download we download again: the basic model, the VAE, Clip-L and T5, in total about 17Gb and if you you use unet the penalty in each download is 11 GB. If you believe that GGUF is a solution, the penalty is only reduced by half (5Gb). That is to say that if we download "n" models based on FluxDevfp8 checkpoint , we have a redundancy of n x 17Gb. SSD vendors are very happy and grateful. Using a distribution based on LORAs, you just download your prefered base model Flux1.Dev, with the included or not VAE, Clip-L and T5 only once and then the specific LORA.

The base model to make the sample images was:

https://huggingface.co/lllyasviel/flux1_dev/resolve/main/flux1-dev-fp8.safetensors

If you want an image in 6-8 steps download Bytedance also include in the prompt (strength 0.125),

https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-FLUX.1-dev-8steps-lora.safetensors

For those who like GGUF, there are several cuantizations versions with 6-8 steps accelerator included

https://huggingface.co/mhnakif/flux-hyp8/tree/main

训练词语: