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:
- 07538d6539a138b560a5ecbe9d4a4a835bfe33071a3121077429961e2e034eb2
- Size of remote file:
- 335 MB
- SHA256:
- 62308045df1e9aaab86d2834707cec385f07e4892bdc4bf16317674c2b27e43c
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