doctor-diffusion-s-n64-xl-lora-218mb-7mb-versions

Doctor Diffusion's N64 XL LoRA - 218MB & 7MB Versions

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Model description

<p>Use <strong>N64 artstyle </strong>in prompt. <br /><br />The 100 epochs 218MB XL version I followed <a target="_blank" rel="ugc" href="https://civitai.com/articles/1771/how-to-create-near-perfect-character-and-style-loras-for-sdxl-10-important-update-19082023"><strong><span style="color:rgb(193, 194, 197)">AI_Characters's</span></strong></a> <a target="_blank" rel="ugc" href="https://civitai.com/articles/1771/how-to-create-near-perfect-character-and-style-loras-for-sdxl-10-important-update-19082023">guide on LoRA settings</a> but used a total of 106 images as well as my own artstyle regulation images. <br /><br />The smaller 20 epochs 7MB version was done with experimental settings. Its small size it why it call it a SDSX LoRA.<br /><br />Inspired partially by both <a target="_blank" rel="ugc" href="https://civitai.com/user/veryVANYA/models"><strong><span style="color:rgb(193, 194, 197)">veryVANYA's </span></strong></a><span style="color:rgb(193, 194, 197)">outstanding </span><a target="_blank" rel="ugc" href="https://civitai.com/models/129556/ps1-graphics-sdxl"><span style="color:rgb(193, 194, 197)">PS1 LoRA</span></a><span style="color:rgb(193, 194, 197)"> (you should download and try) and my 90's childhood.</span></p>

Trigger words

You should use N64 artstyle to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

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('DoctorDiffusion/doctor-diffusion-s-n64-xl-lora-218mb-7mb-versions', weight_name='DD-N64-artstyle-XL-v1.safetensors')
image = pipeline('`N64 artstyle`').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers