Product Design (minimalism eddiemauro) LORA

Before to use - You have to know how works Stable Diffusion. I recommend using Automatic1111 like an interface to launch the model. - This is a model trained on SD 1.5 model, so you have to consider that it is not perfect. I have to make so much testing before to arrive to a stable generation. I will enhance the model when a better base model arrives (like SD XL new one). - This is a LORA model, so it is recommended to use like an extension of a Checkpoint. I recommend you to use realistic dataset models. - I recommend you to follow me on my instagram account, where I will explain about AI image generation: Intro PRODUCT DESIGN (minimalism-eddiemauro) LORA: Hi, I’m a product and car designer, and I’m so excited to test with AI, I think is a good tool for designing. This tool (Lora) is so useful for the design process (shapes-ideas generation), but more than that it helps so much to refine aesthetically. Also, you can turn sketch and 3D schemes into render style. I created a basic Lora and tested it with so many kinds of checkpoints, and the result was a different type of "minimalism". The style is with more contrast (taken from Deliberate and Dreamshaper), and preserves the minimalism style. It is the officially Lora General model centered from my checkpoint of minimalism. If you want to support my work and help me to upload more models (with better quality), you can do it by entering here and donating, I would greatly appreciate it: Installation - I use Automatic1111, the best UI for Stable Diffusion image generation, so I recommend you to install locally or use it online with some Colab or other hosting. You can find online instructions or videos to do that. If you are going to install locally, you can and I recommend you to have at least a 6-8 Gb of VRAM Graphic Card (nvidia) to have a stable interface and launch with “Microsoft Edge” because you will have problems on “Google Chrome”. Try also to install “medvram” or “lowvram” options besides “xformers” (search online how to). - This is a Lora model. You can how to install it. It is just to download a file and put it inside Lora file models. The Lora file extension is “.safetensor”, and mostly the size is lower than a Checkpoint (that could be more than a gigabit). - You have to install also a Checkpoint model to use with, select one focused on realism visualization or 3D/render aspect. - Please for image creation you have to follow all my recommendations, if you don't, it is impossible to generate a good image quality. Also, you have to consider that from today AI image generation is not so consistent and perfect, you have to invest time to get it and make plenty of tests. Recommendations for image generation - Checkpoint best models:  SD 1.5 based models. It is mandatory to use with a checkpoint called , , , or , so download first, install and load inside SD UI.  - Activation token/caption: Inside prompt space, the first word has to be: “emauromin”or “emauromin style” to activate the style. It is mandatory, if you don't do it, it will not work properly. - Another recommended prompting: Inside prompt you can use those words that will enhance the image generation: in the positive space, “futuristic, finely detailed, purism, ue 5, a computer rendering, minimalism, octane render, 4k”; in the negative space: “(worst quality:2), (low quality:2), (normal quality:2), lowres, ((monochrome)), ((grayscale)), cropped, text, jpeg artifacts, signature, watermark, username, sketch, cartoon, drawing, anime, duplicate, blurry, semi-realistic, out of frame, ugly, deformed”. You can also watch the image metadata of example images here and simulate the prompt. - Textual inversion/embedding or Lora tool recommended: I consider that “EasyNegative” is one best of textual inversion for negative prompt space, you should use it. and install it, putting the file inside “embeddings”. You can use it also “Detail Tweaker” to even reduce the details of the image, for that, you have to , install like a Lora and use it inside positive prompt with a value of “-0.5”. Use it when you realize the checkpoint used has so many details, but not when you see that minimalism is on it. This can change the shape of objects considerably. - Lora's weight: I'm trying to enhance the model, for now, this model works fine from 0.7 to 1, the most you increase the value, minimalism is higher. Sometimes the values 0.8-0.9, adapt better than 1. - VAE: This depends on what checkpoint are you using. Mostly it is recommended to use the “vae-ft-mse-840000-ema-pruned” Stable Diffusion standard. - Clip Skip: It was trained on 2, so use 2. - Steps and CFG: It is recommended to use Steps from “20-40” and CFG scale from “6-8”, the ideal is: steps 30, CFG 7. For next models, those values could change. - Sampler: I use mostly “EulerA”, “DPM++SDE Karras” or “DPM++2S a”. Euler tends to be simpler and more creative. Make experimentation with other samplers if you like. - Batch: In txt2img try to put a value of 4 to generate more than 1 image and watch the generations. If you have a good graphic card, you can use “Batch size”, this will create at same time 4 images, increasing generation time; but if your computer cannot handle this, change to “Batch count” that will create 4 images in a row (not a same time), but generation time will be more. - Image aspect: Try to use these dimensions: 512x512, 768x512, 512x768, but even you can experiment with different. Don't generate bigger images because the style could be lost, if you want to create a bigger image, use hires.fix in txt2img mode, img2img increase method or Ultimate SD Upscale script extension + ControlNet, or just upscaling with GAN models. - Create bigger images: There are 4 different methods to create large images in Stable Diffusion, you can check online how to. For first method “txt2img hires.fix”, I recommend you to use upscale model called “4x-UltraSharp”, just “.pth” file, and then installing it, putting inside “E