Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
Instructions to use mjfang27/mimica-cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mjfang27/mimica-cat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mjfang27/mimica-cat", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of mimica cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.bin from mjfang27/mimica-cat: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/mjfang27/mimica-cat/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://mjfang27/mimica-cat/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/mjfang27/mimica-cat/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 0fa7b09e1d588157a6a1797f69c921c0ed525962f2c946a86feede7fe4457259
- Size of remote file:
- 335 MB
- SHA256:
- f3d17aa398e021a2600c4a8b570060056a069a1b7b6f8ace78ffa52fff69395d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.