SDXL LoRA DreamBooth - blanchon/huggingface-brand-universe

Prompt: a sticker of a smiling emoticion with hands up in the style of <s0><s1>

Prompt: a smiley face with hands up in front of a rainbow background in the style of <s0><s1>

Prompt: a yellow smiley with a paintbrush and paint in the style of <s0><s1>

Prompt: a yellow emoticion with a magnifying glass in the style of <s0><s1>

Prompt: a yellow sun with a thermometer in its hand in the style of <s0><s1>

Prompt: a yellow smiley with a hat and a red heart in the style of <s0><s1>

Prompt: a smiley face with a computer chip in the style of <s0><s1>

Prompt: world map sticker - 1 in the style of <s0><s1>

Prompt: two yellow smiley faces with thumbs up in the style of <s0><s1>

Prompt: a yellow smiley face with a hand up in the style of <s0><s1>

Prompt: a cartoon character watering a plant with a watering can in the style of <s0><s1>

Prompt: a yellow sun with a thermometer and a blue crystal in the style of <s0><s1>

Prompt: a yellow sun is holding a drink machine in the style of <s0><s1>

Prompt: checklist emoji sticker in the style of <s0><s1>

Prompt: a yellow smiley with a paper and a pencil in the style of <s0><s1>

Prompt: a yellow smiley face with a rocket on top in the style of <s0><s1>

Prompt: a cartoon character with a red eye and a red light in the style of <s0><s1>

Prompt: a cartoon character playing the violin in the style of <s0><s1>

Prompt: a yellow smiley face with text that says task language license in the style of <s0><s1>

Prompt: a yellow emoticion with a graduation cap and a pen in the style of <s0><s1>

Prompt: a yellow smiley face with a remote control in the style of <s0><s1>

Prompt: a yellow smiley face with a colorful letter d in the style of <s0><s1>

Prompt: a yellow smiley face with a dragon hat in the style of <s0><s1>

Prompt: a yellow smiley with a red moustache and a red hat in the style of <s0><s1>

Prompt: a yellow emoticion singing into a microphone in the style of <s0><s1>

Prompt: dora the explorer emoji sticker in the style of <s0><s1>

Prompt: optimum - a free online tool for managing your finances in the style of <s0><s1>

Prompt: a yellow emoticion with a heart on it in the style of <s0><s1>

Prompt: a yellow smiley face with confetti falling from it in the style of <s0><s1>

Prompt: a yellow emoticitor with a hat and a wand in the style of <s0><s1>

Prompt: a yellow emoticion with sunglasses and a black background in the style of <s0><s1>

Prompt: a yellow emoticion with wine in his hand in the style of <s0><s1>

Prompt: a smiley face with a book and a heart in the style of <s0><s1>

Model description

These are blanchon/huggingface-brand-universe LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.

Download model

Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke

LoRA: download huggingface-brand-universe.safetensors here 💾.
- Place it on your models/Lora folder.
- On AUTOMATIC1111, load the LoRA by adding <lora:huggingface-brand-universe:1> to your prompt. On ComfyUI just load it as a regular LoRA.
Embeddings: download huggingface-brand-universe_emb.safetensors here 💾.
- Place it on it on your embeddings folder
- Use it by adding huggingface-brand-universe_emb to your prompt. For example, in the style of huggingface-brand-universe_emb (you need both the LoRA and the embeddings as they were trained together for this LoRA)

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch
from huggingface_hub import hf_hub_download
from safetensors.torch import load_file
        
pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('blanchon/huggingface-brand-universe', weight_name='pytorch_lora_weights.safetensors')
embedding_path = hf_hub_download(repo_id='blanchon/huggingface-brand-universe', filename='huggingface-brand-universe_emb.safetensors' repo_type="model")
state_dict = load_file(embedding_path)
pipeline.load_textual_inversion(state_dict["clip_l"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder, tokenizer=pipeline.tokenizer)
pipeline.load_textual_inversion(state_dict["clip_g"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder_2, tokenizer=pipeline.tokenizer_2)
        
image = pipeline('in the style of <s0><s1>').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers

Trigger words

To trigger image generation of trained concept(or concepts) replace each concept identifier in you prompt with the new inserted tokens:

to trigger concept TOK → use <s0><s1> in your prompt

Details

All Files & versions.

The weights were trained using 🧨 diffusers Advanced Dreambooth Training Script.

LoRA for the text encoder was enabled. False.

Pivotal tuning was enabled: True.

Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.

blanchon
/

huggingface-brand-universe