Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
photorealistic
digital art
sci-fi
fp16guy
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/PicXReal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/PicXReal 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/PicXReal", 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:
- 4f61e8a438682ddb670e155fd8837dd5bc93eb2be15dd4408d84b6161ac67349
- Size of remote file:
- 492 MB
- SHA256:
- 1fc10254ff3385fe470e69eddb3b1894c865bcd35dbb2c16b7383d5efba0c5f9
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