Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/FormCleansingMix_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/FormCleansingMix_v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("digiplay/FormCleansingMix_v1", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.bin from digiplay/FormCleansingMix_v1: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/digiplay/FormCleansingMix_v1/resolve/refs%2Fpr%2F3/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://digiplay/FormCleansingMix_v1@refs/pr/3/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/digiplay/FormCleansingMix_v1/resolve/refs%2Fpr%2F3/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- a3010cc2cf85da96121be24fcdacd9e64debb660ed79906ed809c85be73401f2
- Size of remote file:
- 335 MB
- SHA256:
- 12701ace18c95405c5c16565536358f9532bc7af5b663f8f0ff2418089d1100d
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