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/kklors_flux_dev_data_moshingV2")
prompt = "close up of a shoe MOSH"
image = pipe(prompt).images[0]flux_dev_data_moshingV2
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user kklors.
- Prompt
- close up of a shoe MOSH
- Prompt
- red mercedes in a city MOSH
- Prompt
- a busy city road MOSH
- Prompt
- playing poker at a table MOSH
- Prompt
- egypt pyraminds MOSH
- Prompt
- kids playing in a backyard MOSH
Trigger words
You should use MOSH 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