Instructions to use OlegSkutte/Faun with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OlegSkutte/Faun with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OlegSkutte/Faun", 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 Settings
- Draw Things
- DiffusionBee
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README.md
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**Faun** is a text-to-image model assembled from Chroma-Flash and a low-step LoRA. It
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## Usage
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**Faun** is a text-to-image model assembled from Chroma-Flash and a low-step LoRA. It was the default image generation model used in [DREAMIO: AI-Powered Adventures](https://dreamio.xyz/). It produces high-quality images with excellent prompt adherence in as few as 6 sampling steps.
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## Usage
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