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", 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
Download unet/diffusion_pytorch_model.bin from stablediffusionapi/rundiffusion-fx-25d: direct link, hf CLI and curl.
- Browser
- Download file 1.72 GB
-
https://huggingface.co/stablediffusionapi/rundiffusion-fx-25d/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/rundiffusion-fx-25d/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/stablediffusionapi/rundiffusion-fx-25d/resolve/main/unet/diffusion_pytorch_model.bin
1.72 GB
- Xet hash:
- e366129ce4b8fdd655dffb49504af8e59ccb1affabf2befea3a55ad3ff7701cf
- Size of remote file:
- 1.72 GB
- SHA256:
- a30aa0c0cb3fddea12c0b0f7d93f36d72fef77fd72d00a22183be021de306f91
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