Text-to-Image
Diffusers
StableDiffusionPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/nijidiffusedmix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/nijidiffusedmix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/nijidiffusedmix", 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 unet/diffusion_pytorch_model.bin from stablediffusionapi/nijidiffusedmix: direct link, hf CLI and curl.
- Browser
- Download file 1.72 GB
-
https://huggingface.co/stablediffusionapi/nijidiffusedmix/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/nijidiffusedmix/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/stablediffusionapi/nijidiffusedmix/resolve/main/unet/diffusion_pytorch_model.bin
1.72 GB
- Xet hash:
- 5b85883f07539073fa4fe38ecc552afc4aacc191890fbdc27d270ed102a79991
- Size of remote file:
- 1.72 GB
- SHA256:
- cbdcba90a1e415fb3f5de336347331798a234739af5d35ab1a4a0306170af249
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