Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Landscapes
3D
Photorealistic
RunDiffusion
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/RunDiffusionFXPhotorealistic768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/RunDiffusionFXPhotorealistic768 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/RunDiffusionFXPhotorealistic768", 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:
- 4b71dab477c5fa98490136024e4e68d8cbd6181e9aa7f888ae3262d1019532a7
- Size of remote file:
- 335 MB
- SHA256:
- 0406ca2124ebc8efcf7b4345d0fea58189978e3fc4c0609f1928d8d1c1de8bb9
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