Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use SidXXD/mist2latent_vae_310 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/mist2latent_vae_310 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/mist2latent_vae_310", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <v1*> cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_custom_diffusion_weights.bin from SidXXD/mist2latent_vae_310: direct link, hf CLI and curl.
- Browser
- Download file 102 MB
-
https://huggingface.co/SidXXD/mist2latent_vae_310/resolve/main/pytorch_custom_diffusion_weights.bin
- Command line
-
hf download hf://SidXXD/mist2latent_vae_310/pytorch_custom_diffusion_weights.bin
-
curl -L -o pytorch_custom_diffusion_weights.bin https://huggingface.co/SidXXD/mist2latent_vae_310/resolve/main/pytorch_custom_diffusion_weights.bin
102 MB
- Xet hash:
- ff459bdac51912855f9d4d9579780c337769eb9678cd5c6885eaf87f6f53812e
- Size of remote file:
- 102 MB
- SHA256:
- b700209bf6f56ff321d4aa00d080101331a9fc6b1db50b8e91b88f1544381e19
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