Loading
Du hast einen ComfyUI-Workflow? Erstelle direkt im Browser eine verständliche Workflow-Dokumentation.Workflow verständlich machen.Jetzt ausprobieren ↗
This model is a diffusion model for unconditional image generation of less wiered jellyfish at resolution 64.
Modellquelle
Quellenbeschreibung
This model is a diffusion model for unconditional image generation of less wiered jellyfish at resolution 64.
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('dzhov/sd-class-jellyfish-64')
image = pipeline().images[0]
image
Quellen
1 QuelleVerifiziert 26. Sept.
Modellartefakte
2 Artefaktediffusion_pytorch_model.safetensors
safetensors · 434 MB · SHA-256 9e84ec6f11e5…350c · Hugging Face
HerunterladenQuellenauszüge
2 Auszüge--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) This model is a diffusion model for unconditional image generation of less wiered jellyfish at resolution 64. ## Usage ```python from diffusers import DDPMPipeline pipeline = DDPMPipeline.from_pretrained('dzhov/sd-class-jellyfish-64') image = pipeline().images[0] image ```
Source context: 9 downloads · 0 likes · Pipeline unconditional-image-generation · Library diffusers · Repo dzhov/sd-class-jellyfish-64