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/GOZT_prepda")
prompt = "prepda working as a data analyst at a laptop, studying dashboards and charts"
image = pipe(prompt).images[0]prepda
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user GOZT.
- Prompt
- prepda working as a data analyst at a laptop, studying dashboards and charts
- Prompt
- prepda presenting data insights on a whiteboard filled with graphs
- Prompt
- prepda writing SQL queries and interpreting data trends in a clean workspace
Trigger words
You should use prepda 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