SDXL LoRA DreamBooth - dber123/lora-logo-simple
- Prompt
- notepad plus - note pad plus in the style of <s0><s1>
- Prompt
- a black background with a white clock on it in the style of <s0><s1>
- Prompt
- anaconda - an open source data management system in the style of <s0><s1>
- Prompt
- a smiley face with two bones on a green background in the style of <s0><s1>
- Prompt
- the vivira logo with a red and gray cross in the style of <s0><s1>
- Prompt
- amazon aws logo in the style of <s0><s1>
- Prompt
- the amazon web services logo in the style of <s0><s1>
- Prompt
- azure logo with blue triangle in the style of <s0><s1>
- Prompt
- the logo for bokkeh, a company that provides a variety of services in the style of <s0><s1>
- Prompt
- the logo for bokh in the style of <s0><s1>
- Prompt
- caddy 2 - free online storage for your photos and videos in the style of <s0><s1>
- Prompt
- the logo for dask, a cryptocurrency exchange in the style of <s0><s1>
- Prompt
- docker for windows 10 in the style of <s0><s1>
- Prompt
- a green dinosaur holding a keyboard and a piece of paper in the style of <s0><s1>
- Prompt
- numba logo with a lightning bolt in the style of <s0><s1>
- Prompt
- the dvc logo on a black background in the style of <s0><s1>
- Prompt
- the logo for elk, a company that makes software for the web in the style of <s0><s1>
- Prompt
- a black background with a white clock on it in the style of <s0><s1>
- Prompt
- fast ai logo in the style of <s0><s1>
- Prompt
- fastapi - a fast api for your app in the style of <s0><s1>
- Prompt
- a black background with a white clock on it in the style of <s0><s1>
- Prompt
- google cloud logo in the style of <s0><s1>
- Prompt
- google logo with a colorful background in the style of <s0><s1>
- Prompt
- a yellow emoticion with its hands up in the style of <s0><s1>
- Prompt
- a logo with a colorful cube in the middle in the style of <s0><s1>
- Prompt
- the jinja logo with a colorful light bulb in the style of <s0><s1>
- Prompt
- the logo for qinna, a company that provides a variety of services in the style of <s0><s1>
- Prompt
- the logo for jupyter is shown in orange and black in the style of <s0><s1>
- Prompt
- the logo for the company is a red, green and blue triangle in the style of <s0><s1>
- Prompt
- the kubernetes logo with a blue and white star in the style of <s0><s1>
- Prompt
- kubernetes is a container orchestration platform in the style of <s0><s1>
- Prompt
- milius - a free and open source video player in the style of <s0><s1>
- Prompt
- the miluus logo with a blue circle in the style of <s0><s1>
- Prompt
- the node - red logo on a red background in the style of <s0><s1>
- Prompt
- the node logo on a black background in the style of <s0><s1>
- Prompt
- the npm logo on a red background in the style of <s0><s1>
- Prompt
- numba logo on black background in the style of <s0><s1>
- Prompt
- the n logo with a blue cube in the style of <s0><s1>
- Prompt
- nvidia geforce gtx 1080 ti in the style of <s0><s1>
- Prompt
- rapids logo with purple letters in the style of <s0><s1>
- Prompt
- pandas logo on a black background in the style of <s0><s1>
- Prompt
- the plotly logo with a blue and white square in the style of <s0><s1>
- Prompt
- the icon for the app is a bar with three dots in the style of <s0><s1>
- Prompt
- the logo for postman, a company that delivers packages in the style of <s0><s1>
- Prompt
- a computer with a lightning bolt on it in the style of <s0><s1>
- Prompt
- python logo with two snakes on it in the style of <s0><s1>
- Prompt
- pytorch - a machine learning framework for deep learning in the style of <s0><s1>
- Prompt
- the logo for firefox in the style of <s0><s1>
- Prompt
- a purple hexagon with a lightning bolt on it in the style of <s0><s1>
- Prompt
- a pixelated blue star with a circle in the middle in the style of <s0><s1>
- Prompt
- the papers app logo in the style of <s0><s1>
- Prompt
- a drone with an ecg on it in the style of <s0><s1>
- Prompt
- solikit learn logo in the style of <s0><s1>
- Prompt
- the s logo in a circle with a blue, orange and green color in the style of <s0><s1>
- Prompt
- the logo for the company is colorful in the style of <s0><s1>
- Prompt
- spacy logo in the style of <s0><s1>
- Prompt
- the logo for the company is orange and white in the style of <s0><s1>
- Prompt
- a red crown icon on a black background in the style of <s0><s1>
- Prompt
- a red crown icon on a black background in the style of <s0><s1>
- Prompt
- a blue arrow pointing down on a black background in the style of <s0><s1>
- Prompt
- the t logo with an orange and black background in the style of <s0><s1>
- Prompt
- the blue x symbol on a black background in the style of <s0><s1>
- Prompt
- w & b logo in the style of <s0><s1>
- Prompt
- a lock with arrows pointing to it in the style of <s0><s1>
Model description
These are dber123/lora-logo-simple 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
lora-logo-simple.safetensorshere 💾.- Place it on your
models/Lorafolder. - On AUTOMATIC1111, load the LoRA by adding
<lora:lora-logo-simple:1>to your prompt. On ComfyUI just load it as a regular LoRA.
- Place it on your
- Embeddings: download
lora-logo-simple_emb.safetensorshere 💾.- Place it on it on your
embeddingsfolder - Use it by adding
lora-logo-simple_embto your prompt. For example,in the style of lora-logo-simple_emb(you need both the LoRA and the embeddings as they were trained together for this LoRA)
- Place it on it on your
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('dber123/lora-logo-simple', weight_name='pytorch_lora_weights.safetensors')
embedding_path = hf_hub_download(repo_id='dber123/lora-logo-simple', filename='lora-logo-simple_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.
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Base model
stabilityai/stable-diffusion-xl-base-1.0