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("cocktailpeanut/washington-square-park")
prompt = "a photo of skateboarders hanging out in wsp"
image = pipe(prompt).images[0]washington-square-park
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- a photo of skateboarders hanging out in wsp
- Prompt
- a photo of people busking on the street in wsp
- Prompt
- a photo of beautiful scene in wsp in the night
- Prompt
- a photo of people biking in wsp
- Prompt
- a photo of people swimming in the fountain in wsp
- Prompt
- tourists are taking photos in front of the wsp gate
Trigger words
You should use wsp to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for cocktailpeanut/washington-square-park
Base model
black-forest-labs/FLUX.1-dev