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("obsidianab/flux_lineart")
prompt = "LNART"
image = pipe(prompt).images[0]Flux_Lineart
Prefix prompt - A black and white illustration in LNART style.
Suffix prompt - The illustration should be simple and clean in LNART style.
Trigger words
You should use LNART to trigger the image generation.
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.float16).to('cuda')
pipeline.load_lora_weights('obsidianab/flux_lineart', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
- Downloads last month
- 3
Model tree for obsidianab/flux_lineart
Base model
black-forest-labs/FLUX.1-dev