SD3.5-Large DreamBooth LoRA - fofr/sd35-0_1-webp
Model description
These are fofr/sd35-0_1-webp DreamBooth LoRA weights for stable-diffusion-3.5-large.
The weights were trained using DreamBooth with the SD3 diffusers trainer.
Was LoRA for the text encoder enabled? False.
Trigger words
You should use 0_1
to trigger the image generation.
Download model
Download the *.safetensors LoRA in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained(stable-diffusion-3.5-large, torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('fofr/sd35-0_1-webp', weight_name='pytorch_lora_weights.safetensors')
image = pipeline('0_1').images[0]
Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- LoRA: download
diffusers_lora_weights.safetensors
here 💾.- Rename it and place it on your
models/Lora
folder. - On AUTOMATIC1111, load the LoRA by adding
<lora:your_new_name:1>
to your prompt. On ComfyUI just load it as a regular LoRA.
- Rename it and place it on your
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
License
Please adhere to the licensing terms as described here.
Training details
Trained on Replicate using: lucataco/stable-diffusion-3.5-large-lora-trainer
Intended uses & limitations
How to use
# TODO: add an example code snippet for running this diffusion pipeline
Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
Training details
[TODO: describe the data used to train the model]
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Model tree for fofr/sd35-0_1-webp
Base model
stabilityai/stable-diffusion-3.5-large