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tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- lora
- template:sd-lora
widget:
- text: notepad plus - note pad plus in the style of <s0><s1>
output:
url: image-0.png
- text: a black background with a white clock on it in the style of <s0><s1>
output:
url: image-1.png
- text: anaconda - an open source data management system in the style of <s0><s1>
output:
url: image-2.png
- text: a smiley face with two bones on a green background in the style of <s0><s1>
output:
url: image-3.png
- text: the vivira logo with a red and gray cross in the style of <s0><s1>
output:
url: image-4.png
- text: amazon aws logo in the style of <s0><s1>
output:
url: image-5.png
- text: the amazon web services logo in the style of <s0><s1>
output:
url: image-6.png
- text: azure logo with blue triangle in the style of <s0><s1>
output:
url: image-7.png
- text: the logo for bokkeh, a company that provides a variety of services in the
style of <s0><s1>
output:
url: image-8.png
- text: the logo for bokh in the style of <s0><s1>
output:
url: image-9.png
- text: caddy 2 - free online storage for your photos and videos in the style of <s0><s1>
output:
url: image-10.png
- text: the logo for dask, a cryptocurrency exchange in the style of <s0><s1>
output:
url: image-11.png
- text: docker for windows 10 in the style of <s0><s1>
output:
url: image-12.png
- text: a green dinosaur holding a keyboard and a piece of paper in the style of <s0><s1>
output:
url: image-13.png
- text: numba logo with a lightning bolt in the style of <s0><s1>
output:
url: image-14.png
- text: the dvc logo on a black background in the style of <s0><s1>
output:
url: image-15.png
- text: the logo for elk, a company that makes software for the web in the style of
<s0><s1>
output:
url: image-16.png
- text: a black background with a white clock on it in the style of <s0><s1>
output:
url: image-17.png
- text: fast ai logo in the style of <s0><s1>
output:
url: image-18.png
- text: fastapi - a fast api for your app in the style of <s0><s1>
output:
url: image-19.png
- text: a black background with a white clock on it in the style of <s0><s1>
output:
url: image-20.png
- text: google cloud logo in the style of <s0><s1>
output:
url: image-21.png
- text: google logo with a colorful background in the style of <s0><s1>
output:
url: image-22.png
- text: a yellow emoticion with its hands up in the style of <s0><s1>
output:
url: image-23.png
- text: a logo with a colorful cube in the middle in the style of <s0><s1>
output:
url: image-24.png
- text: the jinja logo with a colorful light bulb in the style of <s0><s1>
output:
url: image-25.png
- text: the logo for qinna, a company that provides a variety of services in the style
of <s0><s1>
output:
url: image-26.png
- text: the logo for jupyter is shown in orange and black in the style of <s0><s1>
output:
url: image-27.png
- text: the logo for the company is a red, green and blue triangle in the style of
<s0><s1>
output:
url: image-28.png
- text: the kubernetes logo with a blue and white star in the style of <s0><s1>
output:
url: image-29.png
- text: kubernetes is a container orchestration platform in the style of <s0><s1>
output:
url: image-30.png
- text: milius - a free and open source video player in the style of <s0><s1>
output:
url: image-31.png
- text: the miluus logo with a blue circle in the style of <s0><s1>
output:
url: image-32.png
- text: the node - red logo on a red background in the style of <s0><s1>
output:
url: image-33.png
- text: the node logo on a black background in the style of <s0><s1>
output:
url: image-34.png
- text: the npm logo on a red background in the style of <s0><s1>
output:
url: image-35.png
- text: numba logo on black background in the style of <s0><s1>
output:
url: image-36.png
- text: the n logo with a blue cube in the style of <s0><s1>
output:
url: image-37.png
- text: nvidia geforce gtx 1080 ti in the style of <s0><s1>
output:
url: image-38.png
- text: rapids logo with purple letters in the style of <s0><s1>
output:
url: image-39.png
- text: pandas logo on a black background in the style of <s0><s1>
output:
url: image-40.png
- text: the plotly logo with a blue and white square in the style of <s0><s1>
output:
url: image-41.png
- text: the icon for the app is a bar with three dots in the style of <s0><s1>
output:
url: image-42.png
- text: the logo for postman, a company that delivers packages in the style of <s0><s1>
output:
url: image-43.png
- text: a computer with a lightning bolt on it in the style of <s0><s1>
output:
url: image-44.png
- text: python logo with two snakes on it in the style of <s0><s1>
output:
url: image-45.png
- text: pytorch - a machine learning framework for deep learning in the style of <s0><s1>
output:
url: image-46.png
- text: the logo for firefox in the style of <s0><s1>
output:
url: image-47.png
- text: a purple hexagon with a lightning bolt on it in the style of <s0><s1>
output:
url: image-48.png
- text: a pixelated blue star with a circle in the middle in the style of <s0><s1>
output:
url: image-49.png
- text: the papers app logo in the style of <s0><s1>
output:
url: image-50.png
- text: a drone with an ecg on it in the style of <s0><s1>
output:
url: image-51.png
- text: solikit learn logo in the style of <s0><s1>
output:
url: image-52.png
- text: the s logo in a circle with a blue, orange and green color in the style of
<s0><s1>
output:
url: image-53.png
- text: the logo for the company is colorful in the style of <s0><s1>
output:
url: image-54.png
- text: spacy logo in the style of <s0><s1>
output:
url: image-55.png
- text: the logo for the company is orange and white in the style of <s0><s1>
output:
url: image-56.png
- text: a red crown icon on a black background in the style of <s0><s1>
output:
url: image-57.png
- text: a red crown icon on a black background in the style of <s0><s1>
output:
url: image-58.png
- text: a blue arrow pointing down on a black background in the style of <s0><s1>
output:
url: image-59.png
- text: the t logo with an orange and black background in the style of <s0><s1>
output:
url: image-60.png
- text: the blue x symbol on a black background in the style of <s0><s1>
output:
url: image-61.png
- text: w & b logo in the style of <s0><s1>
output:
url: image-62.png
- text: a lock with arrows pointing to it in the style of <s0><s1>
output:
url: image-63.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: in the style of <s0><s1>
license: openrail++
---
# SDXL LoRA DreamBooth - dber123/lora-logo-simple
<Gallery />
## 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.safetensors` here 💾](/dber123/lora-logo-simple/blob/main/lora-logo-simple.safetensors)**.
- Place it on your `models/Lora` folder.
- On AUTOMATIC1111, load the LoRA by adding `<lora:lora-logo-simple:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/).
- *Embeddings*: download **[`lora-logo-simple_emb.safetensors` here 💾](/dber123/lora-logo-simple/blob/main/lora-logo-simple_emb.safetensors)**.
- Place it on it on your `embeddings` folder
- Use it by adding `lora-logo-simple_emb` to 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)
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
```py
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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
## 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](/dber123/lora-logo-simple/tree/main).
The weights were trained using [🧨 diffusers Advanced Dreambooth Training Script](https://github.com/huggingface/diffusers/blob/main/examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py).
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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