Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use SidXXD/adding_mist_before_vae_1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/adding_mist_before_vae_1000 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_1000", 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
- Xet hash:
- 8b77b67307d59b230f6a682fe8ce099c8f96c288657984780097b5d0b86d975e
- Size of remote file:
- 102 MB
- SHA256:
- fc05b1a35a39dd225e48dceb39e23149105e8967fb1c0536ecff22817c6d1e2f
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