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("mrTvister/HSP")
prompt = "red and blue vector style poster with a border, fox with cupcake, bottom of poster has bold blue text \"Anna\" <lora:Hope_Style_Poster__Flux:1>"
image = pipe(prompt).images[0]Hope style poster
- Prompt
- red and blue vector style poster with a border, fox with cupcake, bottom of poster has bold blue text "Anna" <lora:Hope_Style_Poster__Flux:1>
Trigger words
You should use red and blue vector style poster to trigger the image generation.
You should use bottom of poster has bold blue text "Text" to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 3
Model tree for mrTvister/HSP
Base model
black-forest-labs/FLUX.1-dev