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/Samrex1980_SOBOR")
prompt = "Holy Mikhailovsky Cathedral in miniature [TOK]"
image = pipe(prompt).images[0]SOBOR
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user Samrex1980.
- Prompt
- Holy Mikhailovsky Cathedral in miniature [TOK]
- Prompt
- Holy Mikhailovsky Cathedral in photorealism [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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black-forest-labs/FLUX.1-dev