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_0.png from FresherDifference/novel-cover: direct link, hf CLI and curl.
- Browser
- Download file 1.44 MB
-
https://huggingface.co/FresherDifference/novel-cover/resolve/main/sample_0.png
- Command line
-
hf download hf://FresherDifference/novel-cover/sample_0.png
-
curl -L -o sample_0.png https://huggingface.co/FresherDifference/novel-cover/resolve/main/sample_0.png
1.44 MB

- Xet hash:
- 6e5ab57b4d7b6f7152359061424714a6d767499ed82b8182054a3b5482cf5b7f
- Size of remote file:
- 1.44 MB
- SHA256:
- 12781486508609d1176c891fc3b76d9fe6f14b4b76272f932d34365d37f0b433
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