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("n1x-ax/Orth-Art")
prompt = "minimalist 3D orthographic illustration of a food truck, gray, orange, and white colors ORTHART style"
image = pipe(prompt).images[0]Orth-Art LoRA
- Prompt
- minimalist 3D orthographic illustration of a food truck, gray, orange, and white colors ORTHART style
- Prompt
- 3D orthographic illustration of vynil dj mixer ORTHART style
- Prompt
- 3D orthographic illustration of a coffee machine, orange, white, and gray colors, ORTHART style
- Prompt
- 3D orthographic illustration of a payment machine, ORTHART style
- Prompt
- 3D orthographic illustration of toilet room with a lot of graffiti, orange, white, and gray colors, ORTHART style
- Prompt
- minimalist 3D orthographic illustration of a phone with QR code, gray, orange, and white colors ORTHART style
Trigger words
You should use ORTHART 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 n1x-ax/Orth-Art
Base model
black-forest-labs/FLUX.1-dev