--- license: other license_name: bespoke-lora-trained-license license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=True tags: - text-to-image - stable-diffusion - lora - diffusers - template:sd-lora - migrated - base model - dalle2 base_model: stabilityai/stable-diffusion-xl-base-1.0 instance_prompt: widget: - text: ' ' output: url: >- 16141632.jpeg - text: ' ' output: url: >- 16141740.jpeg - text: ' ' output: url: >- 16141784.jpeg - text: ' ' output: url: >- 16141786.jpeg - text: ' ' output: url: >- 16141887.jpeg - text: ' ' output: url: >- 16141893.jpeg - text: ' ' output: url: >- 16141785.jpeg - text: ' ' output: url: >- 16141877.jpeg - text: ' ' output: url: >- 16141881.jpeg - text: ' ' output: url: >- 16141879.jpeg - text: ' ' output: url: >- 16141883.jpeg - text: ' ' output: url: >- 16141942.jpeg - text: ' ' output: url: >- 16141884.jpeg - text: ' ' output: url: >- 16141885.jpeg - text: ' ' output: url: >- 16141889.jpeg - text: ' ' output: url: >- 16141890.jpeg - text: ' ' output: url: >- 16141891.jpeg - text: ' ' output: url: >- 16141895.jpeg - text: ' ' output: url: >- 16141894.jpeg - text: ' ' output: url: >- 16141920.jpeg --- # [LuisaP❤️]NOT DALLE2 [27MB] ## Model description

SDXL 1.0 BASE ONLY, HIGLY RECOMENDED.

About: Trained on selected dataset of dalle-2 images, need the default model to work.

Default model: https://civitai.com/models/101055/sd-xl?modelVersionId=128078

For Foocus, styles can improve your image look, more description is better.

❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️
Do and tips: 1 weight for generation / 1.2/1.5 weight for img2img

Keyword: oil painting and fantasy can bring back some esque for different models.

## Download model Weights for this model are available in Safetensors format. [Download](/multimodalart/luisap-not-dalle2-27mb/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('multimodalart/luisap-not-dalle2-27mb', weight_name='DARRE2.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)