Instructions to use sergSt/flux-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sergSt/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("FluxArt/stable-flux-v1.5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("sergSt/flux-lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Flux LoRA v0.004
LoRA-модификация для модели FluxArt/stable-flux-v1.5, предназначенная для генерации кинематографичных портретов в стиле киберпанк, неон-нуар и sci-fi.
🧠 Использование
from diffusers import StableDiffusionPipeline
pipe = StableDiffusionPipeline.from_pretrained("FluxArt/stable-flux-v1.5").to("cuda")
pipe.load_lora_weights("sergSt/flux-lora", weight_name="flux-lora-000004.safetensors")
pipe.fuse_lora()
image = pipe("cinematic portrait of a cyberpunk samurai").images[0]
image.save("output.png")
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