Instructions to use Unicorn6666/Carbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Unicorn6666/Carbone 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("Unicorn6666/Carbone") prompt = "A selfie camera angle photo of a masked man wearing a blue camouflage balaclava and a long-sleeve black shirt with 'The Force' text, holding a baseball bat mid-swing as he violently hits a creepy anthropomorphic Easter rabbit on the head, both characters inside a dark twisted labyrinth made of concrete walls covered in graffiti and barbed wire, showing his ripped muscular abdomen with intricate deathcore-style tattoos, a cigarette in his mouth, a samurai katana strapped to his back, dim flickering lights casting dramatic shadows, stormy sky above, eerie and chaotic atmosphere, cinematic mood, high contrast, foggy haze, urban decay meets horror-punk Easter, 1boy, male focus, solo, face obscured, hoodie up, edgy aesthetic, post-apocalyptic violence, surreal nightmare vibe" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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