Instructions to use ttsfashion4/3DStyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ttsfashion4/3DStyle 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("ttsfashion4/3DStyle") prompt = "a women in 3d style " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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("ttsfashion4/3DStyle")
prompt = "a women in 3d style "
image = pipe(prompt).images[0]3D Style

- Prompt
- a women in 3d style
- Negative Prompt
- photorealism
Model description
3D style LoRA for Flux
Trigger words
You should use 3D Style 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 ttsfashion4/3DStyle
Base model
black-forest-labs/FLUX.1-dev