Instructions to use multimodalart/isometric-skeumorphic-3d-bnb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use multimodalart/isometric-skeumorphic-3d-bnb with Diffusers:
pip install -U diffusers transformers accelerate
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("multimodalart/isometric-skeumorphic-3d-bnb") prompt = "Christ the Redeemer, Rio de Janeiro, RBNBICN, icon, white background, isometric perspective" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
isometric skeumorphic 3d bnb

- Prompt
- Christ the Redeemer, Rio de Janeiro, RBNBICN, icon, white background, isometric perspective

- Prompt
- A box with steamed dumplings, RBNBICN, icon, white background, isometric perspective

- Prompt
- a printer, RBNBICN, icon, white background, isometric perspective
Model description
Trigger words
You should use RBNBICN, icon, white background, isometric perspective to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-fast-training.
- Downloads last month
- 94