Image Generation
Collection
6 items
•
Updated
besni.safetensors
here 💾.models/Lora
folder.<lora:besni:1>
to your prompt. On ComfyUI just load it as a regular LoRA.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('Chan-Y/FantasticStyle-LoRA', weight_name='pytorch_lora_weights.safetensors')
image = pipeline('in the style of TOK', num_inference_steps=50).images[0]
image
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
You should use in the style of TOK to trigger the image generation.
All Files & versions.
The weights were trained using 🧨 diffusers Advanced Dreambooth Training Script.
LoRA for the text encoder was enabled. True.
Pivotal tuning was enabled: False.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
Base model
stabilityai/stable-diffusion-xl-base-1.0