Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Photorealistic
Realistic
Semi-Realistic
stable-diffusion
stable-diffusion-diffusers
SG_161222
Instructions to use Yntec/realistic-vision-v12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/realistic-vision-v12 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/realistic-vision-v12", 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.bin from Yntec/realistic-vision-v12: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Yntec/realistic-vision-v12/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Yntec/realistic-vision-v12/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Yntec/realistic-vision-v12/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 5be6c6abcc69f637461f0475a1dfd597beab0c8cb96b30083d5c65093965bd56
- Size of remote file:
- 335 MB
- SHA256:
- 3628314a9b774a28b5bb14bc15f8bc21a1084084983b32bda8b7e7cdd84ef062
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