Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
anime
Dreamlike
art
Retro
Elldreths
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/DreamLikeRemix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/DreamLikeRemix 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/DreamLikeRemix", 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:
- 45a839fdd9bc1f964dabf3e35eb917c0cec1fbc4808bb4d650026510268eddbf
- Size of remote file:
- 3.44 GB
- SHA256:
- 6f58021db50137fdec4e1d4d5e150d3725bea3249a5551e7757fe95f2c7d0e1b
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