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_mew_prodigy")
prompt = "Mew as dragonball Z charachter [M3w_cat]"
image = pipe(prompt).images[0]mew_prodigy
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user insectagon.
- Prompt
- Mew as dragonball Z charachter [M3w_cat]
- Prompt
- Samurai Mew [M3w_cat]
- Prompt
- An 8-bit super street fighter game with Mew vs doge [M3w_cat]
- Prompt
- An exciting action scene featuring Mew in the city [M3w_cat]
- Prompt
- a Japanese anime dramatic scene with mew and a human woman [M3w_cat]
- Prompt
- mew flying in space wearing a space suit [M3w_cat]
Trigger words
You should use M3w_cat 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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Model tree for glif-loradex-trainer/insectagon_mew_prodigy
Base model
black-forest-labs/FLUX.1-dev