Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/ZemiHR_v2_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/ZemiHR_v2_diffusers 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/ZemiHR_v2_diffusers", 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 unet/diffusion_pytorch_model.fp16.bin from digiplay/ZemiHR_v2_diffusers: direct link, hf CLI and curl.
- Browser
- Download file 1.72 GB
-
https://huggingface.co/digiplay/ZemiHR_v2_diffusers/resolve/refs%2Fpr%2F2/unet/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://digiplay/ZemiHR_v2_diffusers@refs/pr/2/unet/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/digiplay/ZemiHR_v2_diffusers/resolve/refs%2Fpr%2F2/unet/diffusion_pytorch_model.fp16.bin
1.72 GB
- Xet hash:
- 86309cd44a5b3cde61533ae249f7db121f32fcc7fdb3507b05aeca76c195f3a7
- Size of remote file:
- 1.72 GB
- SHA256:
- a272e9cfeb2ed19e66244bf0970ef7667dae7c7018411fcc02b123d5f7c26035
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