Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
3D
General
Cinematic
CGI
DreamWorks
Pixar
DucHaiten
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/WorksForMe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/WorksForMe 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/WorksForMe", 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:
- b8a14f9d08c76c6eb4f6ee0ba83fcb436a177d106b922bbf2c813745fc929812
- Size of remote file:
- 335 MB
- SHA256:
- 1a2c81f000311ceed037ab937d47d93d2d62600f1c558822576e88456889e72a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.