Instructions to use X-HighVoltage-X/No-Shine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use X-HighVoltage-X/No-Shine 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("X-HighVoltage-X/No-Shine") prompt = "classy high end photo Music video promo still Art Deco Style, desert background and amber light coming from the left ,close-up portrait photo of a woman noshine long hair,black turtle neck sweater under a(shiny blue Puffer Jacket:1.4)<lora:Flux\\mine\\noshine_v2.safetensors:1.0:1.0>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
No Shine v2.0

- Prompt
- classy high end photo Music video promo still Art Deco Style, desert background and amber light coming from the left ,close-up portrait photo of a woman noshine long hair,black turtle neck sweater under a(shiny blue Puffer Jacket:1.4)<lora:Flux\mine\noshine_v2.safetensors:1.0:1.0>
trigger word: noshine
Download model
Download them in the Files & versions tab.
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Model tree for X-HighVoltage-X/No-Shine
Base model
black-forest-labs/FLUX.1-dev