Instructions to use Muapi/gemma-correll-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/gemma-correll-style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/gemma-correll-style") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download preview.jpg from Muapi/gemma-correll-style: direct link, hf CLI and curl.
- Browser
- Download file 1.2 MB
-
https://huggingface.co/Muapi/gemma-correll-style/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/gemma-correll-style/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/gemma-correll-style/resolve/main/preview.jpg
1.2 MB

- Xet hash:
- 341e672ddfee3abdc11e3228289d8983c32f28dd06cf8311e7779db9d48b61a6
- Size of remote file:
- 1.2 MB
- SHA256:
- 61e3220e69aad78a73ed03ca5af7cce4e856ff5695f2d5ab1768624f626933e6
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