Instructions to use Microguy1/KromossFork with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Microguy1/KromossFork with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Microguy1/KromossFork", 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/parti-comparison.webp from Microguy1/KromossFork: direct link, hf CLI and curl.
- Browser
- Download file 1.01 MB
-
https://huggingface.co/Microguy1/KromossFork/resolve/main/assets/parti-comparison.webp
- Command line
-
hf download hf://Microguy1/KromossFork/assets/parti-comparison.webp
-
curl -L -o parti-comparison.webp https://huggingface.co/Microguy1/KromossFork/resolve/main/assets/parti-comparison.webp
1.01 MB

- Xet hash:
- bcf3aab079046237c11e51c1407e31de6df1133ac10af613441df36bfea76a94
- Size of remote file:
- 1.01 MB
- SHA256:
- 7e6a571025394e1195c4648ca5aa3db3ab3c13e972a95cd58ce7020eadaa832d
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