Instructions to use mingyi456/Z-Image-Distilled-DF11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mingyi456/Z-Image-Distilled-DF11 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mingyi456/Z-Image-Distilled-DF11", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Diffusion Single File
How to use mingyi456/Z-Image-Distilled-DF11 with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Upload 2 files
Verified signaturef6ec94f
-
Update README.md
Verified signature3f4b2a3
-
Upload RedZFUN-v6-ZIB-Distilled-AGILE-8steps-BF16-ComfyUI-DF11.safetensors
Verified signature0528eab
-
Upload RedZDPO-v5-ZIB-Distilled-Veris-8steps-BF16-ComfyUi-DF11.safetensors
Verified signature7b93795
-
Upload 2 files
Verified signature4ff4184 -
Update README.md
Verified signature0a94e5d -
initial commit
Verified signature6f03946