import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("SG161222/RealVisXL_V4.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Vimax97/sdxl_bg_test")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]LoRA text2image fine-tuning - Vimax97/sdxl_bg_test
These are LoRA adaption weights for SG161222/RealVisXL_V4.0. The weights were fine-tuned on the Vimax97/background_florence_2_captioned_3050 dataset. You can find some example images in the following.
LoRA for the text encoder was enabled: False.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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]
- Downloads last month
- 4
Model tree for Vimax97/sdxl_bg_test
Base model
SG161222/RealVisXL_V4.0