Instructions to use IsaacAkintaro/household_diffusion_tutorial_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IsaacAkintaro/household_diffusion_tutorial_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("IsaacAkintaro/household_diffusion_tutorial_model", 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
- Xet hash:
- 083cf5f59ec953d72d2d0d6cde0af69b0df4a0f51daa1887fd73cec124722849
- Size of remote file:
- 455 MB
- SHA256:
- 400902fe54a25a3220704c72f86aef297dc8f42644f82ec56d4ae14ef0f88b09
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