Instructions to use LostMedia/RetroDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LostMedia/RetroDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LostMedia/RetroDiffusion", 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 LostMedia/RetroDiffusion: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/LostMedia/RetroDiffusion/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://LostMedia/RetroDiffusion/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/LostMedia/RetroDiffusion/resolve/main/vae/diffusion_pytorch_model.safetensors
335 MB
- Xet hash:
- 4fe686ed40206ac046e8e14df5f94f5cf79668a6a7f27056318deb97dabe2cfb
- Size of remote file:
- 335 MB
- SHA256:
- cc16b824cff635b250ccc043baaee16aa203d6cc78c12bf57e37351be5f896bb
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