Instructions to use jinofcoolnes/corporate_memphis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jinofcoolnes/corporate_memphis with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jinofcoolnes/corporate_memphis", 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 jinofcoolnes/corporate_memphis: direct link, hf CLI and curl.
- Browser
- Download file 134 Bytes
-
https://huggingface.co/jinofcoolnes/corporate_memphis/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://jinofcoolnes/corporate_memphis/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/jinofcoolnes/corporate_memphis/resolve/main/vae/diffusion_pytorch_model.bin
134 Bytes
- Xet hash:
- c6dd93cb08c7ef9d0dab61b17536dfc81b3906193df83fbd3c69bac45412cd17
- Size of remote file:
- 134 Bytes
- SHA256:
- e68ac2fe41d024bb2eb5a03e3a6478bc8597593abe56e7f7ad910c0c413823be
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