Instructions to use FresherDifference/novel-cover with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FresherDifference/novel-cover with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("FresherDifference/novel-cover") prompt = "A colossal crystal dragon perched atop a floating obsidian peak, overlooking a sea of glowing clouds under a violet nebula sky, digital fantasy novel anime style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download sample_1.png from FresherDifference/novel-cover: direct link, hf CLI and curl.
- Browser
- Download file 1.33 MB
-
https://huggingface.co/FresherDifference/novel-cover/resolve/main/sample_1.png
- Command line
-
hf download hf://FresherDifference/novel-cover/sample_1.png
-
curl -L -o sample_1.png https://huggingface.co/FresherDifference/novel-cover/resolve/main/sample_1.png
1.33 MB

- Xet hash:
- 0057392a5366bcadde1e816daac5fa84c3fa6e89a0925850304e9c0bc24ae83b
- Size of remote file:
- 1.33 MB
- SHA256:
- 0385082b8d1791991120a6fe87b69f9304b9e320925486c0c299ef2b346b22b5
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