Instructions to use Muapi/rem-re-zero-re with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/rem-re-zero-re with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cocktailpeanut/pony-diffusion-v6-xl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/rem-re-zero-re") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 94b6b799f188aaa87f2a43cbef7c9ab64359ca6b0aa3c4a8f0d193e9b87113f1
- Size of remote file:
- 1.13 MB
- SHA256:
- 8ec34cb1d6b3b76ed20c14a413d52cacadbca24c3705f4db9a21b31cfc4931f3
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