Instructions to use suryatmodulus/Kromoss with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use suryatmodulus/Kromoss with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("suryatmodulus/Kromoss", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download assets/cat-8steps-lora.webp from suryatmodulus/Kromoss: direct link, hf CLI and curl.
- Browser
- Download file 63.6 kB
-
https://huggingface.co/suryatmodulus/Kromoss/resolve/main/assets/cat-8steps-lora.webp
- Command line
-
hf download hf://suryatmodulus/Kromoss/assets/cat-8steps-lora.webp
-
curl -L -o cat-8steps-lora.webp https://huggingface.co/suryatmodulus/Kromoss/resolve/main/assets/cat-8steps-lora.webp
63.6 kB
