Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
di.ffusion.ai
art
base model
Instructions to use FFusion/FFusion-BaSE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FFusion/FFusion-BaSE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FFusion/FFusion-BaSE", dtype=torch.bfloat16, device_map="cuda") prompt = "a sprinkled donut sitting on top of a table, blender donut tutorial, colorful hyperrealism, everything is made of candy, hyperrealistic digital painting, covered in sprinkles and crumbs, vibrant colors hyper realism, colorful smoke explosion background" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b48116f40aa5b9d2539a3ad3f192cac9c0c47a9f529f8d8f557d935206d9a32d
- Size of remote file:
- 1.36 GB
- SHA256:
- aeb0c8eec01e768ad0a8b2c2c3804297a05b750768628167469f38411bba29da
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