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_insectago_experiment4")
prompt = "Closeup of a man [things]"
image = pipe(prompt).images[0]insectago_experiment4
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user insectagon.
- Prompt
- Closeup of a man [things]
- Prompt
- cinematic screenshot of a beautiful woman hugging a fluffy bunny [things]
- Prompt
- a green car driving down the road [heinz]
- Prompt
- cinematic screenshot of a little girl innocently reaching out to touch the head of a dog [things]
- Prompt
- a cat, closeup, smiling (expressive) [things]
- Prompt
- a dog, closeup , mouth open [things]
Trigger words
You should use Things 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