Instructions to use d-wang26/mk1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use d-wang26/mk1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("d-wang26/mk1", 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
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Download diffusers/.github/ISSUE_TEMPLATE/feedback.md from d-wang26/mk1: direct link, hf CLI and curl.
- Browser
- Download file 302 Bytes
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https://huggingface.co/d-wang26/mk1/resolve/main/diffusers/.github/ISSUE_TEMPLATE/feedback.md
- Command line
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hf download hf://d-wang26/mk1/diffusers/.github/ISSUE_TEMPLATE/feedback.md
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curl -L -o feedback.md https://huggingface.co/d-wang26/mk1/resolve/main/diffusers/.github/ISSUE_TEMPLATE/feedback.md
302 Bytes
| name: "💬 Feedback about API Design" | |
| about: Give feedback about the current API design | |
| title: '' | |
| labels: '' | |
| assignees: '' | |
| **What API design would you like to have changed or added to the library? Why?** | |
| **What use case would this enable or better enable? Can you give us a code example?** | |