Instructions to use glif-loradex-trainer/rough_century_sculptural_BIAS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/rough_century_sculptural_BIAS 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("glif-loradex-trainer/rough_century_sculptural_BIAS") prompt = "fimo clay, sculpture TAR" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
sculptural_BIAS
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user rough_century.

- Prompt
- fimo clay, sculpture TAR

- Prompt
- colorful dust, construction site TAR

- Prompt
- goopy plaster TAR

- Prompt
- wet paint TAR

- Prompt
- neon paint TAR

- Prompt
- upcycled sculpture, garbage art TAR
Trigger words
You should use TAR to trigger the image generation.
Download model
Weights for this model are available in Safetensors format. Download them in the Files & versions tab.
License
This model is licensed under the flux-1-dev-non-commercial-license.
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Model tree for glif-loradex-trainer/rough_century_sculptural_BIAS
Base model
black-forest-labs/FLUX.1-dev