Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
photorealistic
general
art
zoidbb
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/WoopWoopPhoto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/WoopWoopPhoto with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/WoopWoopPhoto", 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 Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.safetensors from Yntec/WoopWoopPhoto: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Yntec/WoopWoopPhoto/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://Yntec/WoopWoopPhoto/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/Yntec/WoopWoopPhoto/resolve/main/vae/diffusion_pytorch_model.safetensors
335 MB
- Xet hash:
- ca58e1d7ad73611fd43d45c4882b8ae969ace57b8325c0fd0bf8c32774ed06bc
- Size of remote file:
- 335 MB
- SHA256:
- ec9ee11eec0c64d5c32a4a72fa64c0c51a201345bde521906199fc6af8374005
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