Instructions to use swsqy/ue5flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use swsqy/ue5flux 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("swsqy/ue5flux") prompt = "space warrior, beautiful, female, ultrarealistic, soft lighting, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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- Prompt
- space warrior, beautiful, female, ultrarealistic, soft lighting, 8k
- Negative Prompt
- cartoon, anime, (deformed eyes, nose, ears, nose), bad anatomy, ugly
Trigger words
You should use ue5 to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for swsqy/ue5flux
Base model
black-forest-labs/FLUX.1-dev