Instructions to use bpathir1/RefEdit-SD3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bpathir1/RefEdit-SD3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bpathir1/RefEdit-SD3", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 471bd5b84f7ed13a9ab97e31fe51ef49936b57205cb087010ddd922e9b4cbdfe
- Size of remote file:
- 4.17 GB
- SHA256:
- 99e411682832ccd5b0a608c73fa29b316e48109286cdaf14a995110363c9372c
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