Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Photorealistic
Highly Detailed
Realistic
AreThoseLevel4Plates
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/edgeOfRealism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/edgeOfRealism 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/edgeOfRealism", 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
Download vae/diffusion_pytorch_model.safetensors from Yntec/edgeOfRealism: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Yntec/edgeOfRealism/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://Yntec/edgeOfRealism/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/Yntec/edgeOfRealism/resolve/main/vae/diffusion_pytorch_model.safetensors
335 MB
- Xet hash:
- a0597e235474335fc30af0af532e48a5f5dfa6fd319b232159897d1729a0a1f5
- Size of remote file:
- 335 MB
- SHA256:
- fc436097e5cbb105c44df4403ae84acf7e81de1f64acfedc334888e9a8eea223
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