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
- Xet hash:
- 184d45f3f69b2002794b88237e036e1900a62806562ddc62c3baf3bdfc5810c6
- Size of remote file:
- 335 MB
- SHA256:
- 8703757183d09cf62ae93048096ff29a0ce5342f94b82d95bd7f33faf17e2162
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.