Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
3D
art
style
checkpoint
PromptSharingSamaritan
Instructions to use Yntec/samaritan3dCartoon2MVAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/samaritan3dCartoon2MVAE 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/samaritan3dCartoon2MVAE", 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 text_encoder/pytorch_model.bin from Yntec/samaritan3dCartoon2MVAE: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Yntec/samaritan3dCartoon2MVAE/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Yntec/samaritan3dCartoon2MVAE/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Yntec/samaritan3dCartoon2MVAE/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 913769e2de98233e3653174a93b4f11883654c297b0306583e5f61a01a329d00
- Size of remote file:
- 492 MB
- SHA256:
- fa54c5bcf97db6a4ef0d993c860a28a3549d1b27dbe6cf96abb65d488aefe31d
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