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/appelsiensam_NathanVandergunst_ACID")
prompt = "AC1D_I12BP8, Nathan Vandergunst skateboarding on a skyscraper, fish eye lense shot"
image = pipe(prompt).images[0]NathanVandergunst_ACID
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user appelsiensam.
- Prompt
- AC1D_I12BP8, Nathan Vandergunst skateboarding on a skyscraper, fish eye lense shot
- Prompt
- AC1D_I12BP8, Nathan Vandergunst presenting a banana on international telivision
Trigger words
You should use AC1D_I12BP8 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/appelsiensam_NathanVandergunst_ACID
Base model
black-forest-labs/FLUX.1-dev