Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Simple prompts
Things
Items
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Stuff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Stuff 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/Stuff", 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
File size: 1,054 Bytes
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license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Simple prompts
- Things
- Items
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# Stuff
Something unprecedented: This model can draw stuff, can you believe it? Try one word prompts like the ones below.
Samples and prompts:

(Click for larger)
Top left: Dreamy Pet Portrait photo of a Cute Red Panda, with twinkling eyes that could melt hearts, lounging in a field of daisies, its fur catching the gentle breeze, backdrop of a serene lakeside sunset, bathed in the warm, golden hues of the fading day, using a high-quality digital camera to ensure every adorable detail, in the style of Annie Leibovitz
Top right: Hamburger
Bottom left: Pizza
Bottom right: Coke, french fries

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