💖 ControlNet, LoRA – 1.country QR codes 📸, Brand characters 🧚♀️
How to make $100k revenue for AI ∩ Crypto today? Which Harmony products will you use twice a day 🪥 and pay $1 each time 🔥? Try our AI Telegram bot 🤖 @HarmonyOneAIBot for brand domains, voice memo summary, wallets, or shared access to Open AI / Stable Diffusion.
How to use Stable Diffusion with ControlNet for your brand characters? Artistic QR codes with LoRA (low-rank adaptation) for vanity URL to our 1.country?
Per ArtQrCode’s research, generated artistic QR codes – now for 1.country and its vanity links – can be useful for event promotion, product packaging, restaurant menus, advertisement display, in-store promotions.
Or some 3D (NFSW) model.
Coca-Cola’s Masterpiece: by OpenAI and Bain & Company, “Create Real Magic” is the first platform of its kind to combine the capabilities of GPT-4, which produces human-like text from search engine queries, and DALL-E, which produces images based on text.
Prompts vs Controls
✅ Prompt: (upper body: 1.5),(white background:1.4), (illustration:1.1),(best quality),(masterpiece:1.1),(extremely detailed CG unity 8k wallpaper:1.1), (colorful:0.9),(panorama shot:1.4),(full body:1.05),(solo:1.2), (ink splashing),(color splashing),((watercolor)), clear sharp focus,{ 1girl standing },((chinese style )),(flowers,woods),outdoors,rocks, looking at viewer, happy expression ,soft smile, detailed face, clothing decorative pattern details, black hair,black eyes, lora:Colorwater_v4:0.8
🚫 Negative Prompt: paintings, sketches, fingers, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, (outdoor:1.6), backlight,(ugly:1.331), (duplicate:1.331), (morbid:1.21), (mutilated:1.21), (tranny:1.331), mutated hands, (poorly drawn hands:1.5), blurry, (bad anatomy:1.21), (bad proportions:1.331), extra limbs, (disfigured:1.331), (more than 2 nipples:1.331), (missing arms:1.331), (extra legs:1.331), (fused fingers:1.61051), (too many fingers:1.61051), (unclear eyes:1.331), lowers, bad hands, missing fingers, extra digit, (futa:1.1),bad hands, missing fingers
logodiffusion.com: Create unique & custom logos without relying on stock designs. Unleash A.I’s power to control every aspect of your logo design process.
Create beautiful Logos from simple text prompts Write a logo prompt and watch as the A.I. creates original designs within seconds. You can receive up to four options per prompt. If you don't like the results, you can generate new designs an infinite number of times until you find a logo you absolutely love!
Redesign any logo, with text prompts. Transform AI-generated or existing logos in seconds! Describe your redesign idea in a text prompt, and Logo Diffusion will bring it to life!
Convert any 2D logo or image into a stunning 3D Illustration. Looking to boost brand recognition without constantly reusing the same logo? Now, create fresh logo variations for every social media post, email newsletter, ad, or announcement!
Turn any image into a logo or an Illustration. Turn any image or photograph into a simplified logo or stylized illustration, Watch Logo Diffusion take your visuals to the next level.
Content Styles to help guide your logo design prompting. Perfect to give you to a better prompting experience, resulting in AI-generated logos that perfectly reflect your vision.
https://twitter.com/LogoDiffusion/status/1629169783819194368
We present QLoRA, an efficient finetuning approach that reduces memory usage enough to finetune a 65B parameter model on a single 48GB GPU while preserving full 16-bit finetuning task performance. QLoRA backpropagates gradients through a frozen, 4-bit quantized pretrained language model into Low Rank Adapters~(LoRA).
Our best model family, which we name Guanaco, outperforms all previous openly released models on the Vicuna benchmark, reaching 99.3% of the performance level of ChatGPT while only requiring 24 hours of finetuning on a single GPU. (Tim Dettmers+ 2023)
State of Art: Google vs Hugging Face
Google’s Vertex AI vs BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models. A generic and efficient pre-training strategy that easily harvests development of pretrained vision models and large language models (LLMs) for vision-language pretraining. BLIP-2 beats Flamingo on zero-shot VQAv2, establishing new state-of-the-art on zero-shot captioning. Equipped with powerful LLMs (e.g. OPT, FlanT5), BLIP-2 also unlocks the new zero-shot instructed vision-to-language generation capabilities.
But EditAnything: Cross-image region drag and merge, clothes / haircut editing, color contact lenses, human replacement with tile refinement, draw your sketch, edit your beauty! Also, customized or image editing with layout alignment control. And, generate or edit anything via text-grounding / segment-anything / text-guided object mask – or generate semantic labels for each mask.
