Instructions to use crystantine/PAJERO4D56 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use crystantine/PAJERO4D56 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("crystantine/PAJERO4D56") prompt = "PJR4D56" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- 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("crystantine/PAJERO4D56")
prompt = "PJR4D56"
image = pipe(prompt).images[0]PJR4D56
Model trained with AI Toolkit by Ostris
Trigger words
You should use PJR4D56 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 crystantine/PAJERO4D56
Base model
black-forest-labs/FLUX.1-dev