Instructions to use Magifactory/t-shirt_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Magifactory/t-shirt_diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Magifactory/t-shirt_diffusion", 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.bin from Magifactory/t-shirt_diffusion: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/Magifactory/t-shirt_diffusion/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Magifactory/t-shirt_diffusion/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Magifactory/t-shirt_diffusion/resolve/main/vae/diffusion_pytorch_model.bin
167 MB
- Xet hash:
- c9778e2457f832366d33d5e0452a6a50b5caa1e3617e86d937d96e46c324551d
- Size of remote file:
- 167 MB
- SHA256:
- bde9fa0d3c78032ada5d580c740237088cf61886ad42a311f033cd418b402e4f
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