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
- Draw Things
- DiffusionBee
- Xet hash:
- 8e7109175d8db8d0ecbc12e8dc693187f06c637b4d1090511e270cd066c78b90
- Size of remote file:
- 167 MB
- SHA256:
- 8d55c592ee39c6619b6c0232057b7979bbb8b8c91bcde23e4216c7d7a54b2768
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