Instructions to use seawolf2357/ntower with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use seawolf2357/ntower 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("seawolf2357/ntower") prompt = "the Namsan Tower in korea seoul, surrounded by trees and buildings. The sky is visible in the background, and there are watermarks on the image. [trigger]" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
ntower

- Prompt
- the Namsan Tower in korea seoul, surrounded by trees and buildings. The sky is visible in the background, and there are watermarks on the image. [trigger]
Trigger words
You should use namsan tower to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('seawolf2357/ntower', weight_name='ntower.safetensors')
image = pipeline('the Namsan Tower in korea seoul, surrounded by trees and buildings. The sky is visible in the background, and there are watermarks on the image. [trigger]').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for seawolf2357/ntower
Base model
black-forest-labs/FLUX.1-dev