Instructions to use Akimitsujiro/furryshota with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Akimitsujiro/furryshota with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Akimitsujiro/furryshota") prompt = " " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
FurryShota

- Prompt
Model description
About me: https://potofu.me/akimitsujiro
Download model: https://huggingface.co/Akimitsujiro/FurSho
Trigger words
You should use Furry, Male to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('Akimitsujiro/furryshota', weight_name='FurSho.safetensors')
image = pipeline('`Furry`, `Male`').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for Akimitsujiro/furryshota
Base model
runwayml/stable-diffusion-v1-5