Instructions to use Zackfalcondev/befamoos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Zackfalcondev/befamoos with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Zackfalcondev/befamoos") prompt = "ohwx" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Zackfalcondev/befamoos: direct link, hf CLI and curl.
- Browser
- Download file 560 Bytes
-
https://huggingface.co/Zackfalcondev/befamoos/resolve/main/README.md
- Command line
-
hf download hf://Zackfalcondev/befamoos/README.md
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curl -L -o README.md https://huggingface.co/Zackfalcondev/befamoos/resolve/main/README.md
560 Bytes
| tags: | |
| - flux | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - fal | |
| base_model: undefined | |
| instance_prompt: ohwx | |
| license: other | |
| # befamoos | |
| <Gallery /> | |
| ## Model description | |
| Model Illanah | |
| ## Trigger words | |
| You should use `ohwx` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/Zackfalcondev/befamoos/tree/main) them in the Files & versions tab. | |
| ## Training at fal.ai | |
| Training was done using [fal.ai/models/fal-ai/turbo-flux-trainer](https://fal.ai/models/fal-ai/turbo-flux-trainer). | |