Instructions to use Shero448/erza2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/erza2 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/prefect-pony-xl-v2-cleaned-style-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/erza2") prompt = "UNICODE\u0000\u0000e\u0000r\u0000z\u0000a\u0000 \u0000s\u0000c\u0000a\u0000r\u0000l\u0000e\u0000t\u0000,\u0000 \u0000r\u0000e\u0000d\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000b\u0000e\u0000t\u0000w\u0000e\u0000e\u0000n\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000b\u0000r\u0000o\u0000w\u0000n\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000n\u0000s\u0000f\u0000w\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 730 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: "UNICODE\0\0e\0r\0z\0a\0 \0s\0c\0a\0r\0l\0e\0t\0,\0 \0r\0e\0d\0 \0h\0a\0i\0r\0,\0 \0h\0a\0i\0r\0 \0b\0e\0t\0w\0e\0e\0n\0 \0e\0y\0e\0s\0,\0 \0b\0r\0o\0w\0n\0 \0e\0y\0e\0s\0,\0 \0n\0s\0f\0w\0"
output:
url: >-
images/ERZA_SCARLET_-_based_from_Dragon_Cry_EXTRA_e000013_00_20241005220330.png
base_model: John6666/prefect-pony-xl-v2-cleaned-style-sdxl
instance_prompt: erza
---
# erza2
<Gallery />
## Trigger words
You should use `erza` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Shero448/erza2/tree/main) them in the Files & versions tab.
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