Instructions to use HoeioUser/base_diffusionfinetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HoeioUser/base_diffusionfinetune 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_diffusionfinetune", 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:
- 297cc1b6d90805d1922aef3aa0f8776390b18067b12277fd1fc5c44c6c4a230b
- Size of remote file:
- 246 MB
- SHA256:
- e96fc9351f2458fdae8af3f74853bbde03986e3177ee4ed91d12c10f33298b3c
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