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("glif-loradex-trainer/insectagon_popcat_prodigy")
prompt = "popcat sitting alone in the jungle crying [popcat_meme]"
image = pipe(prompt).images[0]popcat_prodigy
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user insectagon.
- Prompt
- popcat sitting alone in the jungle crying [popcat_meme]
- Prompt
- Trump dancing with an angry face next to popcat [popcat_meme]
- Prompt
- An 8-bit super street fighter game with popcat vs Pepe [popcat_meme]
- Prompt
- An exciting action scene featuring popcat [popcat_meme]
- Prompt
- a Japanese anime dramatic scene with popcat and a human woman [popcat_meme]
- Prompt
- popcat sitting and explaining life to a sad child [popcat_meme]
Trigger words
You should use popcat_meme to trigger the image generation.
Download model
Weights for this model are available in Safetensors format. Download them in the Files & versions tab.
License
This model is licensed under the flux-1-dev-non-commercial-license.
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Base model
black-forest-labs/FLUX.1-dev