Instructions to use cloudyterry/VTBArena with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cloudyterry/VTBArena with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ByteDance/SDXL-Lightning", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("cloudyterry/VTBArena") prompt = " Retro realistic photo, portrait of a child in a New Year's costume standing in front of the VTB Arena building in Moscow, winter, lots of snow, cute detailed face, a decorated Christmas tree on the left of the child, the stadium building on the right, the child is smiling" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
VTBArena

- Prompt
- Retro realistic photo, portrait of a child in a New Year's costume standing in front of the VTB Arena building in Moscow, winter, lots of snow, cute detailed face, a decorated Christmas tree on the left of the child, the stadium building on the right, the child is smiling
- Negative Prompt
- Звёзды, текст, слова, буквы, неправильная анатомия, нечитаемые черты лица, блюр, блюр на лице, много пальцев, неправильные анатомически руки, кракелюры, неллогичные и незамкнутые формы Stars, text, words, letters, irregular anatomy, unreadable facial features, blurr, blurr on the face, many fingers, anatomically incorrect hands, craquelures, illogical and unclosed shapes
Model description
bew VTBArena
Trigger words
You should use VTBArena 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 cloudyterry/VTBArena
Base model
ByteDance/SDXL-Lightning