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I will train a lora model for you
Ran B
About this gig
Before ordering, please contact me with any questions you may have.
I will create a character or style LoRA (.safetensors) for SD 1.5 based on your preference.
For recognized characters or styles, I'll source and tag the dataset myself.
For original characters, provide 15-30 high-resolution images. If it's a person, ensure a diverse range of lighting, clothing, and backgrounds for optimal results.
I'll share multiple LoRA output samples and detail all prompt specifics (strengths, terms, etc.)
For more insights on training LoRAs, refer to the article I wrote on the topic:
https://ranbensimon.com/generative-ai-fashion
View my Civitai portfolio for examples of my work:
https://civitai.com/user/thebensimon/models
Ready to bring your vision to life with cutting-edge AI? Don't wait let's collaborate and create something unforgettable. Reach out now!
Delivery style preference
Please inform the freelancer of any preferences or concerns regarding the use of AI tools in the completion and/or delivery of your order.
Get to know Ran B
Ran B
I'm a Creative Technologist providing virtual production solutions
- FromIsrael
- Member sinceDec 2012
Languages
English, Hebrew, French
I specialize in Unreal Engine for Metahuman character design and virtual productions. Utilizing 3D animation, modeling, rendering, and rigging in Blender Octane and UE5, I provide industry-leading quality. Additionally, I develop Instagram Effects and Filters using Meta Spark Studio, offering advanced AR solutions for brands. Collaborate with me for digital art and entertainment services.
FAQ
What are LoRA models?
LoRA (Low-Rank Adaptation) models are small Stable Diffusion models that make minor adjustments to standard checkpoint models. They are typically 10 to 100 times smaller than checkpoint models, making them ideal for those with extensive model collections.
Why use LoRA over other training techniques?
LoRA offers a balance between file size and training power. While techniques like Dreambooth produce large model files and textual inversions are limited in capability, LoRA provides a manageable file size with decent training power.
How does LoRA work?
LoRA fine-tunes the cross-attention layers of Stable Diffusion models, where the image and the prompt intersect. This fine-tuning involves adding weights to the matrices of the cross-attention layer. LoRA achieves smaller file sizes by breaking a matrix into two smaller (low-rank) matrices.
Where can I find LoRA models?
Civitai is a popular platform hosting a vast collection of LoRA models. Another source is Hugging Face, although their collection is smaller.
How do I use a LoRA model?
In AUTOMATIC1111 Stable Diffusion GUI or similar GUIs, you can natively support LoRA. Install the LoRA model in the specified folder and use the appropriate syntax in the prompt to add a LoRA with weight.
Can I use multiple LoRA models simultaneously?
Yes, similar to embeddings, you can use multiple LoRA models at once and even combine them with embeddings.
What are the benefits of using LoRA?
LoRA models allow for customization of AI art models without consuming significant local storage. They are an excellent solution for those facing storage issues due to large model sizes.
Are there any limitations or considerations when using LoRA?
Some LoRA models are trained with Dreambooth, requiring a trigger keyword for use. Also, in AUTOMATIC1111, the LoRA phrase is not part of the prompt and will be removed after the LoRA model is applied.
Where can I learn more about LoRA?
For a deeper understanding, you can refer to the article on https://stable-diffusion-art.com/lora/ or check out the research articles and technical descriptions linked at the end of the page.
