Text-to-Image
Diffusers
kandinsky5_image
kandinsky5_image-diffusers
image-to-image
simpletuner
Not-For-All-Audiences
lora
template:sd-lora
standard
Instructions to use Polenov2024/kandinsky-carpet-cut-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Polenov2024/kandinsky-carpet-cut-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kandinskylab/Kandinsky-5.0-T2I-Lite-sft-Diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Polenov2024/kandinsky-carpet-cut-lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Not-For-All-Audiences
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