Instructions to use NeoPy/Sonic-Channel-Style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NeoPy/Sonic-Channel-Style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("John6666/mala-anime-mix-nsfw-pony-xl-v3-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("NeoPy/Sonic-Channel-Style") prompt = "sonic channel (style), Amy Rose" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from NeoPy/Sonic-Channel-Style: direct link, hf CLI and curl.
- Browser
- Download file 308 Bytes
-
https://huggingface.co/NeoPy/Sonic-Channel-Style/resolve/main/README.md
- Command line
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hf download hf://NeoPy/Sonic-Channel-Style/README.md
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curl -L -o README.md https://huggingface.co/NeoPy/Sonic-Channel-Style/resolve/main/README.md
308 Bytes
metadata
license: openrail
tags:
- text-to-image
- stable-diffusion
- Safetensors
- lora
- anime
base_model:
- John6666/mala-anime-mix-nsfw-pony-xl-v3-sdxl
pipeline_tag: text-to-image
library_name: diffusers
widget:
- text: sonic channel (style), Amy Rose
output:
url: images/example_qcvqklgqd.png