Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Art
DucHaiten
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/DucHaitenAIart-beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/DucHaitenAIart-beta 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/DucHaitenAIart-beta", 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.fp16.bin from Yntec/DucHaitenAIart-beta: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/Yntec/DucHaitenAIart-beta/resolve/main/vae/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://Yntec/DucHaitenAIart-beta/vae/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/Yntec/DucHaitenAIart-beta/resolve/main/vae/diffusion_pytorch_model.fp16.bin
167 MB
- Xet hash:
- 913c0a74f43ac00146a739fa3d4cb8f7ffc95f2d3e38a2a4039b89ab0f029197
- Size of remote file:
- 167 MB
- SHA256:
- 06cc44c060446aef839f0140e335ed0edc72feaf6148b7aa6869c8cce14dd416
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