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/Lamia-000_Christs_wound")
prompt = "wounded centaur, mythical creature TOK"
image = pipe(prompt).images[0]Christs_wound
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user Lamia-000.
- Prompt
- wounded centaur, mythical creature TOK
- Prompt
- ruins of athens, snake TOK
- Prompt
- silver vampire sword TOK
Trigger words
You should use TOK 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