Instructions to use seedmanc/tomoechan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use seedmanc/tomoechan with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/anything-v5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("seedmanc/tomoechan") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/anything-v5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("seedmanc/tomoechan")
prompt = "-"
image = pipe(prompt).images[0]Tomoe-chan (kemono friends r)

- Prompt
- -

- Prompt
- -

- Prompt
- -
Model description
Fanmade character replacing kyururu in the failed Kemono Friends 2nd season. Recommended tags: mismatched pupils, medium green hair, hair bow, long black sleeves, low ponytail, azure shoulder bag, fang, feather on hat, bucket hat, single sidelock, heterochromia, vest, overalls
Trigger words
You should use tomoechan to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for seedmanc/tomoechan
Base model
stablediffusionapi/anything-v5