Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Ciro_Negrogni
MagicArt35
Instructions to use Yntec/Trending with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Trending 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/Trending", 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:
- 81eb695e684982fc2ffcacbf29a746367bde981068486cecde5208d348798258
- Size of remote file:
- 167 MB
- SHA256:
- b9c31b4c95c3014e2255dc71d0cc7ddfe68155f1b0dc3cfc78fd543e6d7866f8
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