Instructions to use fluently/Fluently-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fluently/Fluently-v3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fluently/Fluently-v3", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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# **Fluently** - one model for all tasks ([Fluently XL](https://huggingface.co/fluently/Fluently-XL-v1))
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I would like to introduce my model - **Fluently**! This model was made by merging. I crossed a lot of checkpoints and loras.
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## About this model
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# **Fluently** - one model for all tasks ([Fluently XL](https://huggingface.co/fluently/Fluently-XL-v1))
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I would like to introduce my model - **Fluently**! This model was made by merging. I crossed a lot of checkpoints and loras.
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## About this model
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