Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use SidXXD/adding_mist_before_vae_2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/adding_mist_before_vae_2000 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/adding_mist_before_vae_2000", 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 checkpoint-250/optimizer.bin from SidXXD/adding_mist_before_vae_2000: direct link, hf CLI and curl.
- Browser
- Download file 609 MB
-
https://huggingface.co/SidXXD/adding_mist_before_vae_2000/resolve/main/checkpoint-250/optimizer.bin
- Command line
-
hf download hf://SidXXD/adding_mist_before_vae_2000/checkpoint-250/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/SidXXD/adding_mist_before_vae_2000/resolve/main/checkpoint-250/optimizer.bin
609 MB
- Xet hash:
- 91defd839b6706d261584d48b14b7f1ce8292c5203f3a63325bcd5f3707c1fd4
- Size of remote file:
- 609 MB
- SHA256:
- 81f8c7a0e26a5cb910ef5451fdc91e639ab56c1beec523758a6d595f67553718
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