Instructions to use HoeioUser/base_diffusionfinetunedd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HoeioUser/base_diffusionfinetunedd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HoeioUser/base_diffusionfinetunedd", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- d969f0c94c48663c202d134a501ce55582ab605a795b789aa20a5664d3a66639
- Size of remote file:
- 167 MB
- SHA256:
- 18c70f2c918a656ae7e931186128cb581e89e62a80369a1dd4d8181d00df84cb
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