Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Realism
Portrait
Photo
ChangeMeNot
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/ThisIsReal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/ThisIsReal 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/ThisIsReal", 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
- Xet hash:
- d30cf3879ae91ba8675e12b402edbbfb4bbc7f216de09079ebaa2ff2f93c49b5
- Size of remote file:
- 4.27 GB
- SHA256:
- 7a4ac2a8dc9e64aaca8e40f6e9aa60d79ee49a8f26f9dfa1535e05dc32873e47
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