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/lemnop_hologram_plus")
prompt = "hgr4m+, human"
image = pipe(prompt).images[0]hologram_plus
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user lemnop.
- Prompt
- hgr4m+, human
- Prompt
- hgr4m+, skull
- Prompt
- hgr4m+, flower
- Prompt
- hgr4m+, cat
- Prompt
- hgr4m+, globe
- Prompt
- hgr4m+, dice
Trigger words
You should use hgr4m+ 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/lemnop_hologram_plus
Base model
black-forest-labs/FLUX.1-dev