Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Artstyle
Clothing
KimiKoro
timevisitor
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Oiran with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Oiran 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/Oiran", 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
- Draw Things
- DiffusionBee
- Xet hash:
- ea6fe7e0c199513a4fddb002ab70f3e0e7a37dc867d589bfe89f6b8d203d4542
- Size of remote file:
- 1.72 GB
- SHA256:
- 87ed27f4a6ee9dd14773290b5131ac95461d98a46d2381600b16ec85264e1f49
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