Instructions to use rmaxvell/ots with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rmaxvell/ots with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ostris/OpenFLUX.1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("rmaxvell/ots") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
ots

- Prompt
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Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
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Model tree for rmaxvell/ots
Base model
ostris/OpenFLUX.1