Instructions to use katuni4ka/tiny-random-stable-diffusion-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use katuni4ka/tiny-random-stable-diffusion-3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("katuni4ka/tiny-random-stable-diffusion-3", 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 katuni4ka/tiny-random-stable-diffusion-3: direct link, hf CLI and curl.
- Browser
- Download file 20.8 kB
-
https://huggingface.co/katuni4ka/tiny-random-stable-diffusion-3/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://katuni4ka/tiny-random-stable-diffusion-3/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/katuni4ka/tiny-random-stable-diffusion-3/resolve/main/vae/diffusion_pytorch_model.safetensors
20.8 kB
- Xet hash:
- 51f8317387125c98c35cba14874ecd30d749bd33d272daab0464f2dd7f939a2d
- Size of remote file:
- 20.8 kB
- SHA256:
- b1ab1a3c4ba0a281f5564d27ad63ef516dfc8b21847b184990af3338a15cd1f3
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