Instructions to use mrTvister/daningr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mrTvister/daningr 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("mrTvister/daningr") prompt = "1ngra551a A digital painting depicts a towering gaunt figure, emanating an otherworldly aura, against a moody, tempestuous sky backdrop that blurs the line between the supernatural and reality. This skeletal entity, crowned with a halo and with a visage of despair and hollow eyes, shows signs of decay and emaciation, standing as a solemn colossus over a desolate and broken landscape. In the foreground, a lone man, possibly a wanderer or a pilgrim, small in stature yet stark against the vastness of the scene, seems to be gazing up at the massive figure, possibly in contemplation or reverence, with the windswept earth mirroring the turbulence of the heavens above." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee