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
Commit History
-
idle (#7)
- Config Variation (1727b124826e78540338c3fb8d57b3b4f1962dd0) - Config Variation (e6e4a31fa827bb0f5b8b1e3b9253da08c56f74a7) - Config Variation3 (2febc406d01618b1151b4649a73609fbd4b91fcd)799084b -
Adding `diffusers` weights of this model (#3)
- Adding `diffusers` weights of this model (35fb944e3dc46dd313d78f381858160d733c430e)e82394e
-
Upload 15 files
c135cdd