Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use SidXXD/adding_mist_before_vae_310 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/adding_mist_before_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/adding_mist_before_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
- Xet hash:
- 78c8544de557c6ee1f23d298c61dc97e41eac52b9ab8b505d3d00446d4a4c9be
- Size of remote file:
- 609 MB
- SHA256:
- 9096b84247ff90debd29426065de6c1577e2883b13288ebc1771e957871fec5c
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