Instructions to use goofyai/3D_Render_for_Flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use goofyai/3D_Render_for_Flux 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("goofyai/3D_Render_for_Flux") prompt = "3d render of a girl, solo, brown eyes, looking at viewer, brown hair, smile, curly hair, shirt, indoors, short hair, lips, long sleeves, frilled nightgown, red bra, medium breasts, bedroom" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
#1
by goofyai - opened
Generated example for model goofyai/3D_Render_for_Flux.
Prompt: 3d render of a young man standing in front of a picturesque rural setting. short hair, brown eyes, hoodie
goofyai changed pull request status to merged