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
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Download README.md from rmaxvell/ots: direct link, hf CLI and curl.
- Browser
- Download file 367 Bytes
-
https://huggingface.co/rmaxvell/ots/resolve/main/README.md
- Command line
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hf download hf://rmaxvell/ots/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/rmaxvell/ots/resolve/main/README.md
367 Bytes
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - text: '-' | |
| output: | |
| url: images/a3e91458.jpg | |
| base_model: ostris/OpenFLUX.1 | |
| instance_prompt: null | |
| # ots | |
| <Gallery /> | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/rmaxvell/ots/tree/main) them in the Files & versions tab. | |