Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
General
Photorealistic
Sexy
Girls
CornmeisterNL
SG161222
wavymulder
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Paramount with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Paramount 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/Paramount", 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/Paramount: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Yntec/Paramount/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://Yntec/Paramount/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/Yntec/Paramount/resolve/main/vae/diffusion_pytorch_model.safetensors
335 MB
- Xet hash:
- 816bcd7221103c2565f75ee06d824761d8274cbbf511f66d4b93ecf7001cfee7
- Size of remote file:
- 335 MB
- SHA256:
- 12ee2c6bd69c6da69515843397a65741358a9cb31d8ee043d7f8028e6b468548
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