--- 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 - female - feline - fur - cat - animal - gozer base_model: stabilityai/stable-diffusion-xl-base-1.0 instance_prompt: gzr cat widget: - text: ' ' output: url: >- 2175967.jpeg - text: ' ' output: url: >- 2176131.jpeg - text: ' ' output: url: >- 2175965.jpeg - text: ' ' output: url: >- 2175966.jpeg - text: ' ' output: url: >- 2176159.jpeg - text: ' ' output: url: >- 2176083.jpeg - text: ' ' output: url: >- 2176075.jpeg - text: ' ' output: url: >- 2176339.jpeg --- # Gozer Cat - 218MB LoRA - XL ## Model description

Gozer the Gozerian is a beautiful sweet lazy cat.

The 100 epochs 218MB XL version I followed AI_Characters's guide on LoRA settings but with my own cat regulation images.

## Trigger words You should use `gzr cat` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/DoctorDiffusion/gozer-cat-218mb-lora-xl/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/gozer-cat-218mb-lora-xl', weight_name='DD-gzr-cat-XL-v1.safetensors') image = pipeline('`gzr cat`').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)