Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
3d
retro
nintendo
gaming
style
1990s
artstyle
videogames
videogame
styles
n64
nintendo 64
Instructions to use DoctorDiffusion/doctor-diffusion-s-n64-xl-lora-218mb-7mb-versions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DoctorDiffusion/doctor-diffusion-s-n64-xl-lora-218mb-7mb-versions with Diffusers:
pip install -U diffusers transformers accelerate
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("DoctorDiffusion/doctor-diffusion-s-n64-xl-lora-218mb-7mb-versions") prompt = " " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| 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: ' ' | |
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| 2174557.jpeg | |
| - text: ' ' | |
| output: | |
| url: >- | |
| 2174522.jpeg | |
| # Doctor Diffusion's N64 XL LoRA - 218MB & 7MB Versions | |
| <Gallery /> | |
| ## 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](/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) | |