Instructions to use rajkumaralma/glitter_style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rajkumaralma/glitter_style 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("rajkumaralma/glitter_style") prompt = "statue made of glowing crystal tiles,eagle made completely of tiles, scifi, masterpiece, 3d tiles, 3d shadows, neon red,gold, neon yellow background , (masterpiece:1.2), best quality, (hyperdetailed, highest detailed:1.2), high resolution textures, shards, glass, brocken glass, transparent glass, pieces of glass, <lora:ral-glitter:1> ral-glitter" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
glitter_style

- Prompt
- statue made of glowing crystal tiles,eagle made completely of tiles, scifi, masterpiece, 3d tiles, 3d shadows, neon red,gold, neon yellow background , (masterpiece:1.2), best quality, (hyperdetailed, highest detailed:1.2), high resolution textures, shards, glass, brocken glass, transparent glass, pieces of glass, <lora:ral-glitter:1> ral-glitter
Trigger words
You should use ral-glitter to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for rajkumaralma/glitter_style
Base model
stabilityai/stable-diffusion-xl-base-1.0