Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Anime
2D
2.5D
stable-diffusion
stable-diffusion-diffusers
Eagelaxis
Instructions to use Yntec/CetusRemix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/CetusRemix 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/CetusRemix", 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/CetusRemix: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Yntec/CetusRemix/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Yntec/CetusRemix/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Yntec/CetusRemix/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- a2f575f46b28725f09fa61f7b80f0de612e90399dffd27953e92f7e9f02da06f
- Size of remote file:
- 3.44 GB
- SHA256:
- 0f2367c80ac25df661e295a3f5e392f0c56ca06941470a70cc9670f89e4b6ae4
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