Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
newlifezfztty761
Instructions to use Yntec/CuteYuki2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/CuteYuki2 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/CuteYuki2", 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.fp16.bin from Yntec/CuteYuki2: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/Yntec/CuteYuki2/resolve/refs%2Fpr%2F2/vae/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://Yntec/CuteYuki2@refs/pr/2/vae/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/Yntec/CuteYuki2/resolve/refs%2Fpr%2F2/vae/diffusion_pytorch_model.fp16.bin
167 MB
- Xet hash:
- 70e0912bf865814d540f85b458abe29e450779e4483e82de4a6618e7385b5dac
- Size of remote file:
- 167 MB
- SHA256:
- 427aea17c310fde4e2291bcd987e9eb3fbb261774f52b333d77f839a9db89fcf
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