Instructions to use DarkMoonDragon/TurboRender-flux-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DarkMoonDragon/TurboRender-flux-dev 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("DarkMoonDragon/TurboRender-flux-dev") prompt = "An exquisite gothic queen vampiress with dark blue hair and crimson red eyes: Her sensuous white skin gleams in the atmospheric, dense fog, creating an epic and dramatic mood. This hyper-realistic portrait is filled with morbid beauty, from her gothicattire to the intense lighting that highlights every intricate detail. The scene combines glamour with dark, mysterious elements, blending fantasy and horror in a visually stunning way." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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