DDPM Jakob Diffuser
pipeline = DDPMPipeline.frompretrained('maciejw94/DDPM-jakob-diffuser') image = pipeline().images[0] image
Modellquelle
- Art
- Other
- Dateigröße
- 434 MB
- Version
- vRevision 1b50d28
- Aktualisiert
- 28. Sept. 2026
- Downloads
- 14
- Quelle
- Hugging Face
Quellenbeschreibung
Example Fine-Tuned Model for Unit 2 of the Diffusion Models Class 🧨
MAking Jakob
Usage
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('maciejw94/DDPM-jakob-diffuser')
image = pipeline().images[0]
image
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 31. Aug.
Modellartefakte
1 Artefakt
Modellartefakte
1 Artefaktdiffusion_pytorch_model.safetensors
safetensors · 434 MB · SHA-256 c79f75ea98d9…a706 · Hugging Face
HerunterladenQuellenauszüge
2 Auszüge
Quellenauszüge
2 Auszüge--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Example Fine-Tuned Model for Unit 2 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) MAking Jakob ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('maciejw94/DDPM-jakob-diffuser') image = pipeline().images[0] image ```
Source context: 14 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo maciejw94/DDPM-jakob-diffuser
