Instructions to use Pinguin/luisap-not-dalle2-27mb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Pinguin/luisap-not-dalle2-27mb 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("Pinguin/luisap-not-dalle2-27mb") prompt = " " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
[LuisaP❤️]NOT DALLE2 [27MB]

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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 them in the Files & versions tab.
Use it with the 🧨 diffusers library
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
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Model tree for Pinguin/luisap-not-dalle2-27mb
Base model
stabilityai/stable-diffusion-xl-base-1.0