import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("DFloat11/FLUX.1-Kontext-dev-DF11", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Fihade/Flat_Travel_Stamp_Kontext_LoRA")
prompt = "convert it to flat stamp, Solid color background"
image = pipe(prompt).images[0]Flat Travel Stamp LoRA
- Prompt
- convert it to flat stamp, Solid color background
- Negative Prompt
- -
- Prompt
- convert it to flat stamp, Solid color background
- Negative Prompt
- -
- Prompt
- convert it to flat stamp, Solid color background
- Negative Prompt
- -
- Prompt
- convert it to flat stamp, Solid color background
- Negative Prompt
- -
- Prompt
- convert it to flat stamp, Solid color background
- Negative Prompt
- -
- Prompt
- convert it to flat stamp, Solid color background
- Negative Prompt
- -
- Prompt
- convert it to flat stamp, Solid color background
- Negative Prompt
- -
- Prompt
- convert it to flat stamp, Solid color background
- Negative Prompt
- -
Model description
convert it to flat stamp, Solid color background
Trigger words
You should use convert it to flat stamp to trigger the image generation.
You should use Solid color background to trigger the image generation.
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Model tree for Fihade/Flat_Travel_Stamp_Kontext_LoRA
Base model
black-forest-labs/FLUX.1-Kontext-dev Quantized
DFloat11/FLUX.1-Kontext-dev-DF11