Instructions to use Yuanzhe/ERIC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yuanzhe/ERIC with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RunDiffusion/Juggernaut-XL-v9", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Yuanzhe/ERIC") prompt = "<lora:ERIC-XL:1>, liujinhuan, pure color background, looking at camera, Full Body Photo, mint green t-shirt, grey background, confident, portrait " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d647d57f79801b64fdfd3c1938ad58d3a147a6abdbaf7356caf686eae00f1682
- Size of remote file:
- 42.9 MB
- SHA256:
- c054429cb502c39fcb4eedb50f92aaa5f490baead0b200f76d9a1e92f93cf8f0
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