metadata
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- lora
- template:sd-lora
widget:
- text: a black cat with gold and blue eyes in the style of <s0><s1>
output:
url: image-0.png
- text: a man on a horse in the water at night in the style of <s0><s1>
output:
url: image-1.png
- text: a man in a cloak standing in a pond with stars in the style of <s0><s1>
output:
url: image-2.png
- text: >-
a woman standing in front of a door with stars in the sky in the style of
<s0><s1>
output:
url: image-3.png
- text: the legend of zelda by joshua in the style of <s0><s1>
output:
url: image-4.png
- text: >-
a woman in a black cloak standing in the middle of a forest in the style
of <s0><s1>
output:
url: image-5.png
- text: a man standing on the rocks in the ocean at night in the style of <s0><s1>
output:
url: image-6.png
- text: >-
the legend of zelda, the legend of zelda wallpaper in the style of
<s0><s1>
output:
url: image-7.png
- text: the legend of zelda - moonlight in the style of <s0><s1>
output:
url: image-8.png
- text: the legend of zelda wind waker wallpaper in the style of <s0><s1>
output:
url: image-9.png
- text: a man in a forest with a sword and flowers in the style of <s0><s1>
output:
url: image-10.png
- text: a person riding a horse in a field with flowers in the style of <s0><s1>
output:
url: image-11.png
- text: a woman in a boat on a river in the woods in the style of <s0><s1>
output:
url: image-12.png
- text: a man riding a horse in the water with stars in the style of <s0><s1>
output:
url: image-13.png
- text: the witcher 3 - the starry night in the style of <s0><s1>
output:
url: image-14.png
- text: the legend of zelda in the style of <s0><s1>
output:
url: image-15.png
- text: the legend of zelda - twilight princess in the style of <s0><s1>
output:
url: image-16.png
- text: the lord of the rings by joshua klein in the style of <s0><s1>
output:
url: image-17.png
- text: the legend of zelda breath of the wild in the style of <s0><s1>
output:
url: image-18.png
- text: a man on a horse is walking in the woods at night in the style of <s0><s1>
output:
url: image-19.png
- text: >-
a man in armor sitting in the middle of a field with flowers and stars in
the style of <s0><s1>
output:
url: image-20.png
- text: the legend of zelda by joshua in the style of <s0><s1>
output:
url: image-21.png
- text: a woman with a sword in the middle of flowers in the style of <s0><s1>
output:
url: image-22.png
- text: a woman with a sword in the middle of flowers in the style of <s0><s1>
output:
url: image-23.png
- text: a woman sitting on a rock in front of a castle in the style of <s0><s1>
output:
url: image-24.png
- text: a wolf and a woman standing in front of the moon in the style of <s0><s1>
output:
url: image-25.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: in the style of <s0><s1>
license: openrail++
SDXL LoRA DreamBooth - WalkerSpace/blue-zelda-style
Model description
These are WalkerSpace/blue-zelda-style 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
blue-zelda-style.safetensors
here 💾.- Place it on your
models/Lora
folder. - On AUTOMATIC1111, load the LoRA by adding
<lora:blue-zelda-style:1>
to your prompt. On ComfyUI just load it as a regular LoRA.
- Place it on your
- Embeddings: download
blue-zelda-style_emb.safetensors
here 💾.- Place it on it on your
embeddings
folder - Use it by adding
blue-zelda-style_emb
to your prompt. For example,in the style of blue-zelda-style_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('WalkerSpace/blue-zelda-style', weight_name='pytorch_lora_weights.safetensors')
embedding_path = hf_hub_download(repo_id='WalkerSpace/blue-zelda-style', filename='blue-zelda-style_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.