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_translucencyV2")
prompt = "young woman wearing a plastic coat and a plastic hand bag, sunset in a desert TL, translucency"
image = pipe(prompt).images[0]flux_dev_translucencyV2
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user kklors.
- Prompt
- young woman wearing a plastic coat and a plastic hand bag, sunset in a desert TL, translucency
- Prompt
- strong light shining through a person TL TL, translucency
- Prompt
- an apple surrounded by plastic TL, translucency
- Prompt
- beer bottle in a bar lit by candles TL, translucency
- Prompt
- close up of leafs in an autumn forest TL, translucency
- Prompt
- a person behind a curtain TL, translucency
Trigger words
You should use TL, translucency 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/kklors_flux_dev_translucencyV2
Base model
black-forest-labs/FLUX.1-dev