Instructions to use lodestones/Kromoss with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lodestones/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("lodestones/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
Model card: add 8-steps-dmd2-lora, refresh cats and PartiPrompts (Kromoss rows at update 11000)
7f9bb7b verified Download assets/cat-8steps-lora.webp from lodestones/Kromoss: direct link, hf CLI and curl.
- Browser
- Download file 51.8 kB
-
https://huggingface.co/lodestones/Kromoss/resolve/main/assets/cat-8steps-lora.webp
- Command line
-
hf download hf://lodestones/Kromoss/assets/cat-8steps-lora.webp
-
curl -L -o cat-8steps-lora.webp https://huggingface.co/lodestones/Kromoss/resolve/main/assets/cat-8steps-lora.webp
51.8 kB

- Xet hash:
- e7944ad5deef713414174ae41d2ed21447484f561a1423fc56fcf88dd3bc765b
- Size of remote file:
- 51.8 kB
- SHA256:
- 4b0e263d364dcb278c60e4b9d5a4515233a1282b6e789ab47eff978872bfbd87
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