Instructions to use krisbrown06/herheim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use krisbrown06/herheim with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Bedovyy/Anima-FP8", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("krisbrown06/herheim") prompt = "none" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/Blank_Square.svg.png
text: none
parameters:
negative_prompt: none
- output:
url: images/Blank_Square.svg.png
text: '-'
base_model: Bedovyy/Anima-FP8
instance_prompt: '@h3rheim'
herheim

- Prompt
- none
- Negative Prompt
- none

- Prompt
- -
Trigger words
You should use @h3rheim to trigger the image generation.
Download model
Download them in the Files & versions tab.