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:
- 0e5846c27e35b904b7b10d9e952d34520e9fc9cc6b433733172bea452e439b22
- Size of remote file:
- 492 MB
- SHA256:
- 081096ed02c27e61d00085cd19c8510afca80ff6784a4cb23a209c9f47b71649
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