Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Game Art
General purpose
Logos
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Gacha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Gacha 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/Gacha", 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:
- 513644ce426acf26cc48d50b12d7f2c2ef83f7c9bdf45ae4e4aa172d1b23d51f
- Size of remote file:
- 335 MB
- SHA256:
- 2c1e3eca435472aa594a06ef7747fa6cb2f7bb76b5c38c25e98616a3c9f33cf1
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