Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
photorealistic
photoreal
art
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Dreamlike with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Dreamlike 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/Dreamlike", 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
Dreamlike
What happens when in the process of making your mix you have to create an intermediate "temporary" model, and it ends up looking better than your mix? You get Dreamlike.
Samples and prompt:
Close up of a pretty CUTE girl wearing a colourful octopus as a hat, fantasy, intricate, elegant, highly detailed, digital painting, artstation, concept art, smooth, 8 k, sharp focus, illustration, drawing by ROSSDRAWS and Clay Mann and artgerm and greg rutkowski and alphonse mucha
Full story:
https://huggingface.co/Yntec/dreamlike-photoreal-remix/
Full recipe:
https://huggingface.co/Yntec/dreamlike-photoreal-remix/discussions/3
Original page:
https://huggingface.co/dreamlike-art/dreamlike-photoreal-2.0
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