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:
- 37ede8e27fda096bd7314e434b0b9355fcff05ae7ec216bb2eacb11367d81e76
- Size of remote file:
- 492 MB
- SHA256:
- d40ac41620866bca06f46a740734360a4d89e30a2d9d88c4a933cd6250bf3b9a
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