Instructions to use WiroAI/Levi-Ackerman-Flux-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WiroAI/Levi-Ackerman-Flux-LoRA 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("WiroAI/Levi-Ackerman-Flux-LoRA") prompt = "leviwiro, A close-up anime-style portrait of a disciplined fighter with an intense, unwavering stare. His face is partly illuminated by the soft flickering of a lantern, revealing subtle scars and signs of exhaustion. His dark green cloak wraps around his shoulders like a shield, and his high-collared black uniform gives him a sharp, commanding presence. A single raindrop slides down his cheek, but his focus remains unshaken." image = pipe(prompt).images[0] - Transformers
How to use WiroAI/Levi-Ackerman-Flux-LoRA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WiroAI/Levi-Ackerman-Flux-LoRA", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 108dba1d626461a7335dae8abd6b8de030e7c120039459cbc121d54ff312360b
- Size of remote file:
- 856 kB
- SHA256:
- 52d7be334486b353e06c002da482fb96e4724df8bab1ef80fe031113c3109faf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.