Instructions to use SimpleTuner/moss-image-LoRA-experiments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SimpleTuner/moss-image-LoRA-experiments with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OpenMOSS-Team/MOSS-Image-Base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("SimpleTuner/moss-image-LoRA-experiments") 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
Publish MOSS-Image experiment recipes, adapter checkpoints, and validation previews
Browse files- README.md +2 -2
- manifest.json +4 -4
README.md
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| Run | Observed updates | Latest published checkpoint | Status |
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| [base-512](https://huggingface.co/SimpleTuner/moss-image-base-domokun-512) | 10,000 / 10,000 | [10,000](https://huggingface.co/SimpleTuner/moss-image-base-domokun-512/tree/main/checkpoint-10000) | completed |
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| [base-1024](https://huggingface.co/SimpleTuner/moss-image-base-domokun-1024) | 9,
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| [sft-512](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-512) | 10,000 / 10,000 | [10,000](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-512/tree/main/checkpoint-10000) | completed |
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| [sft-1024](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-1024) | 9,
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| [json-base-512](https://huggingface.co/SimpleTuner/moss-image-base-domokun-json-512) | 0 / 10,000 | — | queued |
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| [json-sft-512](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-json-512) | 0 / 10,000 | — | queued |
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| Run | Observed updates | Latest published checkpoint | Status |
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| [base-512](https://huggingface.co/SimpleTuner/moss-image-base-domokun-512) | 10,000 / 10,000 | [10,000](https://huggingface.co/SimpleTuner/moss-image-base-domokun-512/tree/main/checkpoint-10000) | completed |
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| [base-1024](https://huggingface.co/SimpleTuner/moss-image-base-domokun-1024) | 9,360 / 10,000 | [9,000](https://huggingface.co/SimpleTuner/moss-image-base-domokun-1024/tree/main/checkpoint-9000) | training |
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| [sft-512](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-512) | 10,000 / 10,000 | [10,000](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-512/tree/main/checkpoint-10000) | completed |
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| [sft-1024](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-1024) | 9,380 / 10,000 | [9,000](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-1024/tree/main/checkpoint-9000) | training |
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| [json-base-512](https://huggingface.co/SimpleTuner/moss-image-base-domokun-json-512) | 0 / 10,000 | — | queued |
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| [json-sft-512](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-json-512) | 0 / 10,000 | — | queued |
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manifest.json
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"flavour": "base",
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"resolution": 1024,
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"status": "training",
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"observed_step":
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"checkpoints": {
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"sha256": "a41792bb3269c8779b8a26dc7272e8c4a4119f3b0267ca14ff9aeab213b9db57"
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"sha256": "4c8e3e9b29e38442e5905db6adeb83371c6d74313658268160926958d11a7025"
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"observed_step":
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"sha256": "0a6191ab7250d276fdeb32a1e4620f2fbdf980126ecef4a6379b65d24a5fadc8"
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"resolution": 1024,
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"observed_step": 9360,
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"checkpoints": {
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"sha256": "a41792bb3269c8779b8a26dc7272e8c4a4119f3b0267ca14ff9aeab213b9db57"
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"sha256": "4c8e3e9b29e38442e5905db6adeb83371c6d74313658268160926958d11a7025"
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"revision": "7d150104ba3fb898d8de0c1fc955a60cbd854af8"
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"name": "sft-512",
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"observed_step": 9380,
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"checkpoints": {
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"sha256": "0a6191ab7250d276fdeb32a1e4620f2fbdf980126ecef4a6379b65d24a5fadc8"
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"revision": "f64d58538b5e71813a8aafa86226ae9209db4b0f"
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"name": "json-base-512",
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