Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Cartoon
Zovya
DucHaiten
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Classic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Classic 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/Classic", 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.fp16.bin from Yntec/Classic: direct link, hf CLI and curl.
- Browser
- Download file 1.72 GB
-
https://huggingface.co/Yntec/Classic/resolve/main/unet/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://Yntec/Classic/unet/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/Yntec/Classic/resolve/main/unet/diffusion_pytorch_model.fp16.bin
1.72 GB
- Xet hash:
- 4ea4dfe50c176d2fcb9d085a4f4a81b455b64e2827a77a0efedccf20cd7e0c15
- Size of remote file:
- 1.72 GB
- SHA256:
- ab3bb91c55b73a6ceeeac98d9d8db3ad4293da854bcbe558af1e6d5b2c6335d1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.