How to use from the
Use from the
Diffusers library
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("heldn/palestine_flagFlux")

prompt = "1boy, hold a flag  palestine_flagFlux, <lora:palestine_flagFlux:1>, hyper detailed, anime, best quality"
image = pipe(prompt).images[0]

palestine flag Flux

Prompt
1boy, hold a flag palestine_flagFlux, <lora:palestine_flagFlux:1>, hyper detailed, anime, best quality
Prompt
1boy, hold a flag palestine_flagFlux, <lora:palestine_flagFlux:1>, hyper detailed, anime, best quality
Prompt
a kid, hold a flag palestine_flagFlux, <lora:palestine_flagFlux:1>, hyper detailed, realistic, best quality
Prompt
a kid, hold a flag palestine_flagFlux, <lora:palestine_flagFlux:1>, hyper detailed, realistic, best quality
Prompt
a kid, hold a flag palestine_flagFlux, <lora:palestine_flagFlux:1>, hyper detailed, realistic, best quality
Prompt
a kid, hold a flag palestine_flagFlux, <lora:palestine_flagFlux:1>, hyper detailed, realistic, best quality
Prompt
1girl, hold a flag palestine_flagFlux, <lora:palestine_flagFlux:1>, hyper detailed, realistic, best quality
Prompt
1girl, hold a flag palestine_flagFlux, <lora:palestine_flagFlux:1>, hyper detailed, realistic, best quality
Prompt
1boy, hold a flag palestine_flagFlux, <lora:palestine_flagFlux:1>, hyper detailed, realistic, best quality
Prompt
1boy, hold a flag palestine_flagFlux, <lora:palestine_flagFlux:1>, hyper detailed, realistic, best quality
Prompt
1boy, hold a flag palestine_flagFlux, <lora:palestine_flagFlux:1>, hyper detailed, realistic, best quality
Prompt
1girl, hold a flag palestine_flagFlux, <lora:palestine_flagFlux:1>

Model description

Create Palestine flag with this Flux LoRA

Trigger words

You should use palestine_flagFlux 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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