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("mujibanget/mujibvector")
prompt = "cute cat vector illustration with mujibvector style, isolated in white background"
image = pipe(prompt).images[0]Vector Flat Shading with Outline Illustration
- Prompt
- cute cat vector illustration with mujibvector style, isolated in white background
- Prompt
- cute cat vector illustration with mujibvector style, isolated in white background
- Prompt
- cute cat vector illustration with mujibvector style, isolated in white background
- Prompt
- cute cat vector illustration with mujibvector style, isolated in white background
- Prompt
- cute cat vector illustration with mujibvector style, isolated in white background
- Prompt
- cute cat vector illustration with mujibvector style, isolated in white background
- Prompt
- cute cat vector illustration with mujibvector style, isolated in white background
Model description
Vector Flat Shading with Outline Illustration. Base model: flux-dev License Apache 2.0
Trigger words
You should use mujibvector to trigger the image generation.
You should use vector to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for mujibanget/mujibvector
Base model
black-forest-labs/FLUX.1-dev