Instructions to use stablediffusionapi/guofeng3-v34 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/guofeng3-v34 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/guofeng3-v34", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8608f00fc6ec503434d42664803209553ab75e23422024a0e25fe844fb9f8c86
- Size of remote file:
- 1.72 GB
- SHA256:
- 4e96228edc03a4b2069acd83269b20dd76b0d5169cda09554db905f9fb23f542
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.