Instructions to use lunarfish/furrydiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lunarfish/furrydiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lunarfish/furrydiffusion", 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
FurryDiffusion is a model made to generate furry art, this model is very much in beta still and will keep improoving! To use this please make sure to include furry in your prompt and to make a specific breed add the breed name only.
Example Prompts:
Positive: highres, furry, fox, orange fur, blue eyes
Negative: lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, blurry
Test the concept via A1111 Colab fast-Colab-A1111
Or you can run your new concept via diffusers Colab Notebook for Inference
NOTE: Its better to run it in Google Colab since you can use google's powerful gpu's for free. Go ahead try it now!
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