Instructions to use antikpatel128/lora-sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use antikpatel128/lora-sdxl 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("antikpatel128/lora-sdxl") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
YAML Metadata Error:"widget[0].text" must be a string
Slider SDXL - LoRA
SDXL ONLY
weight: 0 to 5.0
positive: more realistic
negative: less realistic, cartoon, painting, etc
I noticed the more bizarre your prompt gets, the more SDXL wants to turn it into a cartoon. This helps give you the ability to adjust the level of realism in a photo. All images were generated without refiner. I refuse.
If you like my work, I am not asking for coffee, but a kind review is always appreciated.
Image examples for the model:
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Model tree for antikpatel128/lora-sdxl
Base model
stabilityai/stable-diffusion-xl-base-1.0



