SD1.5 LoRA DreamBooth - FirstLast/RealisticVision-LoRA-libr-0.2
![](https://huggingface.co/FirstLast/RealisticVision-LoRA-libr-0.15/resolve/main/image_0.png)
- Prompt
- a portrait of a woman wearing libr dress, bokeh, cinematic
![](https://huggingface.co/FirstLast/RealisticVision-LoRA-libr-0.15/resolve/main/image_1.png)
- Prompt
- a portrait of a woman wearing libr dress, bokeh, cinematic
![](https://huggingface.co/FirstLast/RealisticVision-LoRA-libr-0.15/resolve/main/image_2.png)
- Prompt
- a portrait of a woman wearing libr dress, bokeh, cinematic
![](https://huggingface.co/FirstLast/RealisticVision-LoRA-libr-0.15/resolve/main/image_3.png)
- Prompt
- a portrait of a woman wearing libr dress, bokeh, cinematic
Model description
These are FirstLast/RealisticVision-LoRA-libr-0.2 LoRA adaption weights for SG161222/Realistic_Vision_V5.1_noVAE.
Download model
Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- LoRA: download
RealisticVision-LoRA-libr-0.2.safetensors
here 💾.- Place it on your
models/Lora
folder. - On AUTOMATIC1111, load the LoRA by adding
<lora:RealisticVision-LoRA-libr-0.2:1>
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('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('FirstLast/RealisticVision-LoRA-libr-0.2', weight_name='pytorch_lora_weights.safetensors')
image = pipeline('a portrait of a woman wearing libr dress, bokeh, cinematic').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 libr dress 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: None.
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