--- license: other license_name: bespoke-lora-trained-license license_link: https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=False tags: - text-to-image - stable-diffusion - lora - diffusers - template:sd-lora - migrated - style - comic - side view - pen and ink - profile view base_model: runwayml/stable-diffusion-v1-5 instance_prompt: widget: - text: ' ' output: url: >- 6890055.jpeg - text: ' ' output: url: >- 7926529.jpeg - text: ' ' output: url: >- 6990145.jpeg --- # side 2024 ## Model description

UPDATED XL VERSION HERE

https://civitai.com/models/565058/side-xl?modelVersionId=629739

This model is trained on a similar date. Is it to the original 1.5 version checkpoint models

Per quest here is an updated LoRa version using an updated data set as well. This model is geared towards those interested in creating side profile views of characters. When I first started my art journey it was probably one of the easiest ways to begin drawing and learning how to draw from the side.

the intent for this model is to make side profile images!! again I have to emphasize this because that's what it's meant for and there seem to be confusing in the first version lol.

Hope you enjoy, and I look forward to seeing your creations in your attorney

## Download model Weights for this model are available in Safetensors format. [Download](/brushpenbob/side-2024/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('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda') pipeline.load_lora_weights('brushpenbob/side-2024', weight_name='side_2024.safetensors') image = pipeline('Your custom prompt').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)