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:
- e449a90dadc0f30ba716299f0eba59f00b3471006e45943fa348e3ca0d0cacf7
- Size of remote file:
- 335 MB
- SHA256:
- 822f9f7301312ee87ee733b3abfcebb2c4b18f0cc5f0046b6bdb7a4620e99dc3
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