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
- Xet hash:
- b10b1f3904740f6771b5bbc0f684b8f6e92454699f606571744c5e34d52aefe6
- Size of remote file:
- 102 MB
- SHA256:
- dd121a1742e2ab17b4e3edfc5b619f0f595a2feeccee63d9f926926b90c61ce3
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