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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3a5f922186ff1f8003fb49f23135279f2bb91914b9444bc03341149a3dc01b0a
- Size of remote file:
- 167 MB
- SHA256:
- 45a0e99d8216866a1dcd5ac48c5946903f91686e0d194ed1ff77c50c3fbf5ece
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