import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("AlekseyCalvin/Propaganda_Poster_Schnell_by_doctor_diffusion")
prompt = "propaganda poster of a curious raccoon rummaging through a pile of leaves at night, its eyes shining in the moonlight as it searches for food in a quiet, suburban backyard. text reads /trash panda!/ at top"
image = pipe(prompt).images[0]
- Prompt
- propaganda poster of a curious raccoon rummaging through a pile of leaves at night, its eyes shining in the moonlight as it searches for food in a quiet, suburban backyard. text reads /trash panda!/ at top
- Prompt
- propaganda poster A wise old owl perched on a branch in a misty forest, with glowing eyes and its feathers ruffled by the wind, watching over the landscape below
Propaganda Poster LoRA by doctor_diffusion
Model Description
An agitprop-inspired stylized art/illustration/cartoon generative LoRA trained on the Flux Schnell model (for 3000 steps, probably at Rank 64) and adapted for use with the same base model and its variants (+other adaptive fine-tune modules).
Trigger
Use token trigger 'propaganda poster'
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Model tree for AlekseyCalvin/Propaganda_Poster_Schnell_by_doctor_diffusion
Base model
black-forest-labs/FLUX.1-schnell