Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
art
anime
style
checkpoint
stable-diffusion
stable-diffusion-diffusers
yntec
anything
Dreamlike
Instructions to use Yntec/DreamAnything with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/DreamAnything 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/DreamAnything", 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
- Xet hash:
- 70b9649f9120a73dfd7686ebcd5fe1090d70ba6dd9bacadbfe4dc9dd8eba44c5
- Size of remote file:
- 167 MB
- SHA256:
- cc9a9181f2f6ac2fb360ce3cc59eb18a18c0c3ef4f225779878fc82a0674090f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.