--- license: other license_name: bespoke-lora-trained-license license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Rent&allowDerivatives=True&allowDifferentLicense=False tags: - text-to-image - stable-diffusion - lora - diffusers - template:sd-lora - 3d - retro - nintendo - gaming - style - 1990s - artstyle - videogames - videogame - styles - n64 - nintendo 64 base_model: stabilityai/stable-diffusion-xl-base-1.0 instance_prompt: N64 artstyle widget: - text: ' ' output: url: >- 2174774.jpeg - text: ' ' output: url: >- 2174804.jpeg - text: ' ' output: url: >- 2173745.jpeg - text: ' ' output: url: >- 2173654.jpeg - text: ' ' output: url: >- 2174678.jpeg - text: ' ' output: url: >- 2173704.jpeg - text: ' ' output: url: >- 2173655.jpeg - text: ' ' output: url: >- 2174557.jpeg - text: ' ' output: url: >- 2174522.jpeg --- # Doctor Diffusion's N64 XL LoRA - 218MB & 7MB Versions ## Model description

Use N64 artstyle in prompt.

The 100 epochs 218MB XL version I followed AI_Characters's guide on LoRA settings but used a total of 106 images as well as my own artstyle regulation images.

The smaller 20 epochs 7MB version was done with experimental settings. Its small size it why it call it a SDSX LoRA.

Inspired partially by both veryVANYA's outstanding PS1 LoRA (you should download and try) and my 90's childhood.

## Trigger words You should use `N64 artstyle` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/DoctorDiffusion/doctor-diffusion-s-n64-xl-lora-218mb-7mb-versions/tree/main) them in the Files & versions tab. ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) ```py 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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)