Instructions to use tonyzyl/DiffusionReconstruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tonyzyl/DiffusionReconstruct with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tonyzyl/DiffusionReconstruct", 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
Ctrl+K
- compressible_NS_cfg
- compressible_NS_uncond
- compressible_NS_vt
- compressible_NS_xattn
- darcy_cfg
- darcy_uncond
- darcy_vt
- darcy_xattn
- diffusion_reaction_cfg
- diffusion_reaction_uncond
- diffusion_reaction_vt
- diffusion_reaction_xattn
- shallow_water_cfg
- shallow_water_uncond
- shallow_water_vt
- shallow_water_xattn
- 1.52 kB
- 31 Bytes