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F.1_Commercial Realistic Minimalist 3D Art Illustration

13

98

0

7

Verified:

SafeTensor

Type

LoRA

Stats

98

0

Reviews

Published

May 21, 2025

Base Model

Flux.1 D

Training

Steps: 24,320
Epochs: 40

Usage Tips

Clip Skip: 2
Strength: 1

Trigger Words

A picture in the style of ram_art

Hash

AutoV2
056AFDF9FF
default creator card background decoration
Vidu Contest Participant

dyrice

The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.

IN NO EVENT SHALL BLACK FOREST LABS, INC. BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.

This model is available for everyone to use for free. If you have the ability, please support us by generating two more images, thank you in advance.

Model Description: This model will reduce the details of the image, making it look more minimalist, but the rich layers can create a sense of three-dimensionality. However, when writing prompts, try not to include a large number of elements, which is contrary to the minimalist style. The effect will also be greatly reduced.

本模型供大家免费使用,有能力多生两张图支持一下谢谢。

模型说明:本模型会使图片减少细节,使其看起来更简约,但层次丰富可以营造出一种立体感。但是在撰写提示词时,尽量不要包含大量元素,这与简约风格背道而驰。效果也会大打折扣。

Recommended image size: The minimum single side of the image should be >=1024.

Trigger word: A picture in the style of ram_art. This is not a trigger word, but it has a similar effect to a trigger word. After testing, it doesn't make much difference whether we use it or not.

Sampling algorithm (Sampler): Euler.

Scheduler: simple, normal, or beta.

Sample frequency: About 30 steps. If you want better details, you can increase the number of steps.

Recommendation model weight: 1.0

CFG: 3.5. For complex images or images with a lot of noise, increasing CGF can significantly reduce the noise when the value is 7. Compared with the value of 3.5, the noise is significantly reduced when the value is 7.

CLIP: If the limb damage is severe, adjust the clip, 1 or 2; the clip parameters are not fixed.

High-definition restoration: Enlargement algorithm recommendation: R-ESRGAN_4x+Anime6B, 4x-AnimeSharp.

Redrawing amplitude: 0.3 (The smaller the value, the more it resembles the original image; the larger the value, the more it allows you to use your imagination.)

推荐图形尺寸:图片最小单边>=1024

触发词:A picture in the style of ram_art,不是触发词但和触发词作用相似,测试下来用不用影响不大。

采样算法(Sampler):Euler

调度器:simple,normal或beta

采样次数:30步左右,想细节更好提高步数。

推荐模型权重:1.0
CFG:3.5,对于复杂图像或噪点多提高CGF,值为7时相比值为3.5时噪点明显减少。

CLIP:如果肢体崩坏严重就调clip,1或2;clip参数不是固定的

高清修复:放大算法推荐:R-ESRGAN_4x+Anime6B,4x-AnimeSharp,

重绘幅度:0.3(越小越像原图,越大越发挥想象)

Reference prompt word examples:

We recommend using natural language to describe the keywords, and you can polish them with a large language model.

提示词一:The image shows a frying pan on a stove, with three eggs and an eggshell in it. There is an egg box next to the frying pan, and the background is light blue. One of the eggs is half-cooked, another one is half-cut, and one of the yolks has already been spread out, and the yolk is still in the frying pan. The mixture looks light yellow-green, the frying pan is black, with a non-stick coating, and the background is a simple gradient of light blue and white, without any other decorations.

提示词二:The text describes a picturesque scene from a bird's-eye view: a red train traveling along a winding railway track at sunset, with a castle in the background. The rolling hills, lush green grass, and a winding path leading to the castle. The sky is filled with colorful clouds, and the distant sun is setting, casting a warm orange glow over the scene. The train is located in the center of the picture, standing out prominently in the lush landscape. The castle towers high on the right side of the track. The whole scene is serene and beautiful, with the train occupying most of the space in the picture.,A picture in the style of ram_art。

[Disclaimer]

1. In principle, this model is only for communication and learning, and the model and generated images cannot be used for commercial purposes.

2. The user shall handle any intellectual property disputes arising from the content generated based on this model on their own, provided that they comply with local laws and regulations and the terms of service.

3. Without the author's permission, you cannot integrate this model into any third-party software or services on your own.

4. When generating and posting images on social media, you must indicate the reference model and the author.