Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
3D
General
Cinematic
CGI
DreamWorks
Pixar
DucHaiten
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/WorksForMe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/WorksForMe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/WorksForMe", 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.safetensors from Yntec/WorksForMe: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Yntec/WorksForMe/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://Yntec/WorksForMe/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/Yntec/WorksForMe/resolve/main/vae/diffusion_pytorch_model.safetensors
335 MB
- Xet hash:
- b8a14f9d08c76c6eb4f6ee0ba83fcb436a177d106b922bbf2c813745fc929812
- Size of remote file:
- 335 MB
- SHA256:
- 1a2c81f000311ceed037ab937d47d93d2d62600f1c558822576e88456889e72a
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