Instructions to use nikansazeh/m3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nikansazeh/m3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ideogram-ai/ideogram-4-fp8", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("nikansazeh/m3") prompt = "Make this design a 3D architectural rendering with all the details" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
m3-1

- Prompt
- Make this design a 3D architectural rendering with all the details
- Negative Prompt
- Make this design a 3D architectural rendering with all the details
Model description
Make this design a 3D architectural rendering with all the details
Download model
Download them in the Files & versions tab.
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Model tree for nikansazeh/m3
Base model
ideogram-ai/ideogram-4-fp8