Instructions to use glif-loradex-trainer/bulbul_POV with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/bulbul_POV 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/bulbul_POV") prompt = "wounded centaur, mythical creature pov" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
POV
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user bulbul.

- Prompt
- wounded centaur, mythical creature pov

- Prompt
- ruins of athens, snake pov

- Prompt
- silver vampire sword pov

- Prompt
- man climbs the everast pov
Trigger words
You should use pov 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/bulbul_POV
Base model
black-forest-labs/FLUX.1-dev