Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Digital art
Female
7whitefire7
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/RealCartoon3D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/RealCartoon3D 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/RealCartoon3D", 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 unet/diffusion_pytorch_model.bin from Yntec/RealCartoon3D: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Yntec/RealCartoon3D/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Yntec/RealCartoon3D/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Yntec/RealCartoon3D/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 7f299205059aff4979b25d84272cecc4f2f2f62702cb159d05433caf0879cdc8
- Size of remote file:
- 3.44 GB
- SHA256:
- 8a7ce9faf6fa631227977ee6bd007de332a1f9e793497edaa5576a9a7a13e288
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