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/antix82_flux_dev_marv_no_captions")
prompt = "eating a banana marv frog"
image = pipe(prompt).images[0]flux_dev_marv_no_captions
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user antix82.
- Prompt
- eating a banana marv frog
- Prompt
- sitting in a chair marv frog
- Prompt
- big smile, happy facemarv frog
Trigger words
You should use marv frog 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/antix82_flux_dev_marv_no_captions
Base model
black-forest-labs/FLUX.1-dev