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 +6 -6
README.md
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@@ -48,5 +48,5 @@ the JSON runs use the shared schema implementation from [PR #3273](https://githu
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| [base-1024](https://huggingface.co/SimpleTuner/moss-image-base-domokun-1024) | 10,000 / 10,000 | [10,000](https://huggingface.co/SimpleTuner/moss-image-base-domokun-1024/tree/main/checkpoint-10000) | completed |
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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) | 10,000 / 10,000 | [10,000](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-1024/tree/main/checkpoint-10000) | completed |
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| [json-base-512](https://huggingface.co/SimpleTuner/moss-image-base-domokun-json-512) |
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| [json-sft-512](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-json-512) |
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| [base-1024](https://huggingface.co/SimpleTuner/moss-image-base-domokun-1024) | 10,000 / 10,000 | [10,000](https://huggingface.co/SimpleTuner/moss-image-base-domokun-1024/tree/main/checkpoint-10000) | completed |
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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) | 10,000 / 10,000 | [10,000](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-1024/tree/main/checkpoint-10000) | completed |
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| [json-base-512](https://huggingface.co/SimpleTuner/moss-image-base-domokun-json-512) | 6 / 10,000 | — | training |
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| [json-sft-512](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-json-512) | 8 / 10,000 | — | training |
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manifest.json
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"repo_id": "SimpleTuner/moss-image-base-domokun-json-512",
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"flavour": "base",
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"resolution": 512,
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"status": "
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"observed_step":
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"checkpoints": {},
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"revision": "
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{
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"name": "json-sft-512",
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"repo_id": "SimpleTuner/moss-image-sft-domokun-json-512",
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"flavour": "sft",
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"resolution": 512,
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"status": "
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"observed_step":
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"checkpoints": {},
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"revision": "
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}
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"repo_id": "SimpleTuner/moss-image-base-domokun-json-512",
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"flavour": "base",
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"resolution": 512,
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"status": "training",
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"observed_step": 6,
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"checkpoints": {},
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"revision": "a0550a5cac8f688657a81db59a083baa5898c636"
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},
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{
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"name": "json-sft-512",
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"repo_id": "SimpleTuner/moss-image-sft-domokun-json-512",
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"flavour": "sft",
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"resolution": 512,
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"status": "training",
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"observed_step": 8,
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"checkpoints": {},
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"revision": "0e057fa3e9bbbec201e590cd4e9e81a86777606e"
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}
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}
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