import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("BlaireSilver13/dollx_style")
prompt = "-"
image = pipe(prompt).images[0]Dollx Style
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Model description
ｄｏｌｌｘ ｓｔｙｌｅ This Lora is trained on the style of AI artist @darkestdollx and creates a hyperwave type of image heavy in pinks and colorful spectrums with glitch and vaporwave vibes. It does not exactly reproduce their style and is intended as a fun tribute to their work. This LoRA was trained for 40 epochs using the prodigy optimizer on 24 images at 1280 x 1280 with a batch setting of 4 and a gradient accumulation of 6. This is different from my normal training settings of 4 x 2. Images were captioned with GPTV using my art captioning prompt and captions were manually edited for succinctness. Loss charts were different than I expected with the different training settings than I usually use. After reviewing test images i chose to share the final epoch 40. Images in the accompanying post were creating with comfy UI and the Proteus Run Diffusion model with the tempest model as a refiner stage.
Trigger words
You should use xdlx style to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for BlaireSilver13/dollx_style
Base model
stabilityai/stable-diffusion-xl-base-1.0