Instructions to use stablediffusionapi/rundiffusion-fx-25d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/rundiffusion-fx-25d 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/rundiffusion-fx-25d", torch_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:
- 322bd228d8f2e0ad9054193a32e697ebfb6f5e61874fa22660ab6cbfcfd398d8
- Size of remote file:
- 167 MB
- SHA256:
- 761649f5b444302ccdbf77c580027872efd37a9d48743549abf9bba770f23a95
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