Instructions to use BiliSakura/ADM-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/ADM-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("BiliSakura/ADM-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
- Draw Things
- DiffusionBee
Upload folder using huggingface_hub
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ADM-G-256/README.md
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# ADM-G-256
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Self-contained ADM-G checkpoint inside [`BiliSakura/ADM-diffusers`](https://huggingface.co/BiliSakura/ADM-diffusers).
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## Hub path
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# ADM-G-256
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Self-contained ADM-G checkpoint inside [`BiliSakura/ADM-diffusers`](https://huggingface.co/BiliSakura/ADM-diffusers). Runtime dependencies: this folder + PyPI `diffusers`/`torch` only.
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## Hub path
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ADM-G-512/README.md
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# ADM-G-512
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Self-contained ADM-G checkpoint inside [`BiliSakura/ADM-diffusers`](https://huggingface.co/BiliSakura/ADM-diffusers).
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## Hub path
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`BiliSakura/ADM-diffusers/ADM-G-512`
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## Layout
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```text
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ADM-G-512/
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βββ pipeline.py
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βββ model_index.json
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βββ unet/
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βββ classifier/
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# ADM-G-512
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Self-contained ADM-G checkpoint inside [`BiliSakura/ADM-diffusers`](https://huggingface.co/BiliSakura/ADM-diffusers). Runtime dependencies: this folder + PyPI `diffusers`/`torch` only.
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## Hub path
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`BiliSakura/ADM-diffusers/ADM-G-512`
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## Demo
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## Layout
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```text
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ADM-G-512/
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βββ pipeline.py
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βββ unet/
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βββ classifier/
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βββ scheduler/
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# BiliSakura/ADM-diffusers
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OpenAI ADM-G checkpoints
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This Hugging Face repo hosts **multiple self-contained checkpoints as subfolders**. Each subfolder includes its own `pipeline.py`, `model_index.json`, weights, and component code (`unet/`, `classifier/`, `scheduler/`).
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# BiliSakura/ADM-diffusers
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Self-contained OpenAI ADM-G checkpoints for Hugging Face diffusers. **No external code repo is required** β each subfolder ships its own `pipeline.py`, component modules, and weights.
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This repo is derived from the development bundle in [Visual-Generative-Foundation-Model-Collection](https://github.com/Bili-Sakura/Visual-Generative-Foundation-Model-Collection), but inference only needs:
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- This model repo (`BiliSakura/ADM-diffusers`)
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- PyPI `diffusers`, `torch`, `huggingface_hub`
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This Hugging Face repo hosts **multiple self-contained checkpoints as subfolders**. Each subfolder includes its own `pipeline.py`, `model_index.json`, weights, and component code (`unet/`, `classifier/`, `scheduler/`).
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