Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Fantasy Art
All
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/mixRealisticFantasy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/mixRealisticFantasy 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/mixRealisticFantasy", torch_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:
- 9254873996343f5ab6f89a6836bf3b181639afa5b52bb6580ccee40fbff59398
- Size of remote file:
- 167 MB
- SHA256:
- 875f8986b15942ffdab0c65fca8594809d0f5246f8606bac2c847c7f9b165b44
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.