Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Girl
Asian
DucHaiten
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/SuperCuteRemix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/SuperCuteRemix 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/SuperCuteRemix", 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.bin from Yntec/SuperCuteRemix: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Yntec/SuperCuteRemix/resolve/refs%2Fpr%2F2/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Yntec/SuperCuteRemix@refs/pr/2/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Yntec/SuperCuteRemix/resolve/refs%2Fpr%2F2/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 184d45f3f69b2002794b88237e036e1900a62806562ddc62c3baf3bdfc5810c6
- Size of remote file:
- 335 MB
- SHA256:
- 8703757183d09cf62ae93048096ff29a0ce5342f94b82d95bd7f33faf17e2162
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