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/Danyl_rbln_style_lora")
prompt = "rbln_style, close-up portrait of a woman, flat single-color background, thick black outlines, smooth cel shading"
image = pipe(prompt).images[0]rbln_style_lora
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user Danyl.
- Prompt
- rbln_style, close-up portrait of a woman, flat single-color background, thick black outlines, smooth cel shading
- Prompt
- rbln_style, full-body anthropomorphic bull hero pose, sunny suburban backyard, saturated colors
- Prompt
- rbln_style, astronaut reading a comic book while floating in space, simple star field, bold glow edges
- Prompt
- rbln_style, four-panel comic sequence, cat eats sushi, orange background
- Prompt
- rbln_style, frog alien sculpting a statue with friends, midday light, vibrant palette
Trigger words
You should use rbln_style 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/Danyl_rbln_style_lora
Base model
black-forest-labs/FLUX.1-dev