Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
General
Cinematic
CGI
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/DreamWorks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/DreamWorks 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/DreamWorks", 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
metadata
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- General
- Cinematic
- CGI
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
DreamWorks
Sample and prompt:
cute little Edith from Despicable Me from_side pixar dreamworks movie scene plaid skirt sneakers playing with her sister Agnes in the backyard bright sunny day (masterpiece) (CGI) (best quality) (detailed) (intricate) (8k) (HDR) (cinematic lighting) (sharp focus)
