metadata
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- diffusers-training
- text-to-image
- diffusers
- lora
- template:sd-lora
- edm-training
inference:
parameters:
scheduler: EulerDiscreteScheduler
widget:
- text: a TOK emoji dressed as an easter bunny
output:
url: image_0.png
- text: a TOK emoji dressed as an easter bunny
output:
url: image_1.png
- text: a TOK emoji dressed as an easter bunny
output:
url: image_2.png
- text: a TOK emoji dressed as an easter bunny
output:
url: image_3.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: a TOK emoji
license: openrail++
SDXL LoRA DreamBooth - linoyts/huggy_lora_edm_v1
Model description
These are linoyts/huggy_lora_edm_v1 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
huggy_lora_edm_v1.safetensors
here 💾.- Place it on your
models/Lora
folder. - On AUTOMATIC1111, load the LoRA by adding
<lora:huggy_lora_edm_v1:1>
to your prompt. On ComfyUI just load it as a regular LoRA.
- Place it on your
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('linoyts/huggy_lora_edm_v1', weight_name='pytorch_lora_weights.safetensors')
image = pipeline('a TOK emoji dressed as an easter bunny').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
Trigger words
You should use a TOK emoji to trigger the image generation.
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: False.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.