corporateshwari / README.md
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---
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- lora
- template:sd-lora
widget:
- text: <s0><s1> a beautiful painting of a tired young mother like an indian goddess,
flying away to heaven with children on her shoulder, laptop in her lap, in the
style of Raja Ravi Varma
output:
url: image-0.png
- text: <s0><s1> a beautiful painting of a tired young mother like an indian goddess,
flying away to heaven with children on her shoulder, laptop in her hands, there
are cherubs in the background, in the style of Raja Ravi Varma
output:
url: image-1.png
- text: <s0><s1> a beautiful painting of a young indian mother with many arms like
an indian goddess sitting on a rock with a child on her arms, and a laptop in
her arms, there are cherubs in the background, in the style of Raja Ravi Varma
output:
url: image-2.png
- text: <s0><s1> a beautiful painting of a young indian mother with many arms like
an indian goddess sitting on a rock with a child on her arms, and a laptop in
her arms, there are cherubs in the background, in the style of Raja Ravi Varma
output:
url: image-3.png
- text: <s0><s1> a beautiful painting of a young indian mother with many arms like
an indian goddess sitting on a rock with a child on her arms, and a laptop in
her arms, there are cherubs in the background, in the style of Raja Ravi Varma
output:
url: image-4.png
- text: <s0><s1> a beautiful painting of a young indian mother with many arms like
an indian goddess sitting on a rock with a child on her arms, and a laptop in
her arms, in the style of Raja Ravi Varma
output:
url: image-5.png
- text: <s0><s1> a beautiful painting of a young indian mother with many arms like
an indian goddess sitting on a cloud with a child on her arms, and a laptop in
her arms, in the style of Raja Ravi Varma
output:
url: image-6.png
- text: <s0><s1> a beautiful painting of a young indian mother with an indian goddess
flying in the air with a child on her arms, there are cherubs in the background,
in the style of Raja Ravi Varma
output:
url: image-7.png
- text: <s0><s1> a beautiful painting of a young indian mother with an indian goddess
flying in the air with a child on her arms, in the style of Raja Ravi Varma
output:
url: image-8.png
- text: <s0><s1> a beautiful painting of a young indian mother with an indian goddess
flying in the air with a child on her arms, in the style of Raja Ravi Varma
output:
url: image-9.png
- text: <s0><s1> a beautiful painting of a young indian mother with many arms like
an indian goddess sitting on a rock with a child on her arms, and a laptop in
her arms, there are cherubs in the background, in the style of Raja Ravi Varma
output:
url: image-10.png
- text: <s0><s1> a beautiful painting of a young indian mother with many arms like
an indian goddess sitting on a rock with a child on her arms, and a laptop in
her arms, there are cherubs in the background, in the style of Raja Ravi Varma
output:
url: image-11.png
- text: <s0><s1> a beautiful painting of a tired young mother like an indian goddess,
flying away to heaven with children on her shoulder, laptop in her lap, in the
style of Raja Ravi Varma
output:
url: image-12.png
- text: <s0><s1> a beautiful painting of a tired young mother in a corporate suit
like an indian goddess, flying away to heaven, laptop in her lap, there are cherubs
in the background, in the style of Raja Ravi Varma
output:
url: image-13.png
- text: <s0><s1> a beautiful painting of a tired young mother like an indian goddess,
flying away to heaven with children on her shoulder, laptop in her lap, in the
style of Raja Ravi Varma
output:
url: image-14.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: <s0><s1>
license: openrail++
---
# SDXL LoRA DreamBooth - computational-mama/corporateshwari
<Gallery />
## Model description
### These are computational-mama/corporateshwari 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 **[`corporateshwari.safetensors` here 💾](/computational-mama/corporateshwari/blob/main/corporateshwari.safetensors)**.
- Place it on your `models/Lora` folder.
- On AUTOMATIC1111, load the LoRA by adding `<lora:corporateshwari:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/).
- *Embeddings*: download **[`corporateshwari_emb.safetensors` here 💾](/computational-mama/corporateshwari/blob/main/corporateshwari_emb.safetensors)**.
- Place it on it on your `embeddings` folder
- Use it by adding `corporateshwari_emb` to your prompt.
(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('computational-mama/corporateshwari', weight_name='pytorch_lora_weights.safetensors')
embedding_path = hf_hub_download(repo_id='computational-mama/corporateshwari', filename='corporateshwari_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('<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](/computational-mama/corporateshwari/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.