Instructions to use anshuldudeja/maya_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anshuldudeja/maya_v1 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.2-klein-base-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("anshuldudeja/maya_v1") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Maya V1

- Prompt
- -
Model description
Private lora first test compatibility.
Trigger words
You should use Maya_01 to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for anshuldudeja/maya_v1
Base model
black-forest-labs/FLUX.2-klein-base-9B