Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
anime
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Citrus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Citrus 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/Citrus", 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:
- 3ca9099cfe40d343ad916a57edf24344846ecce415acbb86e1eedc58c638967d
- Size of remote file:
- 492 MB
- SHA256:
- d232fe6684e534b60c6510f9a8f9f285ae37508750c0531436ab6fd4111c17b1
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