metadata
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- lora
- template:sd-lora
widget:
- text: >-
a painting of a man sitting on a chair with a glass in the style of
<s0><s1>
output:
url: image-0.png
- text: an indian painting depicting a woman and man in the style of <s0><s1>
output:
url: image-1.png
- text: >-
an indian painting of a woman sitting and petting a peacock in the style
of <s0><s1>
output:
url: image-2.png
- text: >-
an indian woman is taking a selfie with her husband in the style of
<s0><s1>
output:
url: image-3.png
- text: a painting of a woman swinging on a swing in the style of <s0><s1>
output:
url: image-4.png
- text: an indian painting of a man holding a fish in the style of <s0><s1>
output:
url: image-5.png
- text: an indian painting depicting a bird and a man in the style of <s0><s1>
output:
url: image-6.png
- text: an indian painting depicting four women dancing in the style of <s0><s1>
output:
url: image-7.png
- text: >-
an indian painting depicting a woman pouring water into a pot in the style
of <s0><s1>
output:
url: image-8.png
- text: a painting depicting two women carrying bricks in the style of <s0><s1>
output:
url: image-9.png
- text: an indian painting of a couple sitting on a couch in the style of <s0><s1>
output:
url: image-10.png
- text: an indian painting depicting a hindu goddess Kali in the style of <s0><s1>
output:
url: image-11.png
- text: a painting of two men in traditional clothing in the style of <s0><s1>
output:
url: image-12.png
- text: a painting of a woman playing a sitar in the style of <s0><s1>
output:
url: image-13.png
- text: a painting of a woman in a sari in the style of <s0><s1>
output:
url: image-14.png
- text: an indian painting of a man sitting on a chair in the style of <s0><s1>
output:
url: image-15.png
- text: >-
an indian painting depicting a man sitting on a chariot in the style of
<s0><s1>
output:
url: image-16.png
- text: an indian painting of a man sitting on a chair in the style of <s0><s1>
output:
url: image-17.png
- text: >-
an indian painting depicting lord Shiva holding baby lord Ganesha in the
style of <s0><s1>
output:
url: image-18.png
- text: >-
an old painting of a man sitting on a chair and a woman operating a
handheld fan in the style of <s0><s1>
output:
url: image-19.png
- text: >-
an indian painting depicting lord Ganesha sitting on a tree in the style
of <s0><s1>
output:
url: image-20.png
- text: >-
a painting of a woman sitting on a chair with a baby lord Ganesh in the
style of <s0><s1>
output:
url: image-21.png
- text: a painting of a woman carrying branches of a tree in the style of <s0><s1>
output:
url: image-22.png
- text: >-
an indian painting of a man and woman in traditional clothing where man is
smoking a hookah in the style of <s0><s1>
output:
url: image-23.png
- text: >-
an indian painting depicting a woman getting her hair done in the style of
<s0><s1>
output:
url: image-24.png
- text: >-
a painting of a man sitting on a chair with a book in the style of
<s0><s1>
output:
url: image-25.png
- text: >-
an indian painting depicting two women in traditional clothing in the
style of <s0><s1>
output:
url: image-26.png
- text: a painting of a man playing a sitar in the style of <s0><s1>
output:
url: image-27.png
- text: an indian painting of a man smoking a pipe in the style of <s0><s1>
output:
url: image-28.png
- text: >-
two women sitting on a yellow background with a brush in the style of
<s0><s1>
output:
url: image-29.png
- text: >-
an indian painting depicting a woman sitting on a couch brushing her hair
in the style of <s0><s1>
output:
url: image-30.png
- text: >-
an indian painting depicting a woman and man quarrelling in the style of
<s0><s1>
output:
url: image-31.png
- text: >-
a painting of one men sitting on a chair and the other one on the floor in
the style of <s0><s1>
output:
url: image-32.png
- text: >-
an indian painting of lord Ganesha sitting on a chair in the style of
<s0><s1>
output:
url: image-33.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: in the style of <s0><s1>
license: openrail++
SDXL LoRA DreamBooth - rexoscare/kalighat-paintings-lora
Model description
These are rexoscare/kalighat-paintings-lora 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
kalighat-paintings-lora.safetensors
here 💾.- Place it on your
models/Lora
folder. - On AUTOMATIC1111, load the LoRA by adding
<lora:kalighat-paintings-lora:1>
to your prompt. On ComfyUI just load it as a regular LoRA.
- Place it on your
- Embeddings: download
kalighat-paintings-lora_emb.safetensors
here 💾.- Place it on it on your
embeddings
folder - Use it by adding
kalighat-paintings-lora_emb
to your prompt. For example,in the style of kalighat-paintings-lora_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('rexoscare/kalighat-paintings-lora', weight_name='pytorch_lora_weights.safetensors')
embedding_path = hf_hub_download(repo_id='rexoscare/kalighat-paintings-lora', filename='kalighat-paintings-lora_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.