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:
- b052ff568ba7e69b517f8ea6e4405aad2ebb71dba616b1a304522f8260959d4e
- Size of remote file:
- 3.46 GB
- SHA256:
- 09b7edb76bebc5dbcf128424c54bae9793bcff43cee0e17cc35f0663e11e0adf
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