Instructions to use IronBloodhound/neoncryptstyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IronBloodhound/neoncryptstyle 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("IronBloodhound/neoncryptstyle") prompt = "<neoncrypt style>, a lone astronaut exploring an abandoned lunar research station" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3d8cb5925a4774f52d4547594e7f6a45698f5fe452d133a84acc6af74b39dfe5
- Size of remote file:
- 195 MB
- SHA256:
- 7385c41c354a2f9166fbd1ea2960d78c32d25bbe0a6ae07fa66751dbf2ed276d
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