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("Quorlen/Flux_Tilt_Shift_Photography-lora")
prompt = "Tilt Shift Photograph"
image = pipe(prompt).images[0]Flux_Tilt_Shift_Photography-lora
Model trained with AI Toolkit by Ostris
Trigger words
You should use Tilt Shift Photograph 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('Quorlen/Flux_Tilt_Shift_Photography-lora', weight_name='Flux_Tilt_Shift_Photography_000001000.safetensors')
image = pipeline('Tilt Shift Photograph').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 Quorlen/Flux_Tilt_Shift_Photography-lora
Base model
black-forest-labs/FLUX.1-dev