Text-to-Image
Diffusers
StableDiffusionXLPipeline
modelslab.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/gufengSun666 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/gufengSun666 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/gufengSun666", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 32a9158259b5e5fa28ae6eac9dfd08ca88a58acb8b3f7c1e9bb092d09d5202a1
- Size of remote file:
- 246 MB
- SHA256:
- 972d32e7e436e5781ca2d02d00655ce3763b5593a9b98ea3ad8f85d6c9e6f8b6
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