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 +10 -4
README.md
CHANGED
|
@@ -48,5 +48,5 @@ the JSON runs use the shared schema implementation from [PR #3273](https://githu
|
|
| 48 |
| [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 |
|
| 49 |
| [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 |
|
| 50 |
| [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 |
|
| 51 |
-
| [json-base-512](https://huggingface.co/SimpleTuner/moss-image-base-domokun-json-512) | 9,
|
| 52 |
-
| [json-sft-512](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-json-512) | 9,
|
|
|
|
| 48 |
| [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 |
|
| 49 |
| [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 |
|
| 50 |
| [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 |
|
| 51 |
+
| [json-base-512](https://huggingface.co/SimpleTuner/moss-image-base-domokun-json-512) | 9,640 / 10,000 | [9,500](https://huggingface.co/SimpleTuner/moss-image-base-domokun-json-512/tree/main/checkpoint-9500) | training |
|
| 52 |
+
| [json-sft-512](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-json-512) | 9,680 / 10,000 | [9,500](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-json-512/tree/main/checkpoint-9500) | training |
|
manifest.json
CHANGED
|
@@ -291,7 +291,7 @@
|
|
| 291 |
"flavour": "base",
|
| 292 |
"resolution": 512,
|
| 293 |
"status": "training",
|
| 294 |
-
"observed_step":
|
| 295 |
"checkpoints": {
|
| 296 |
"500": {
|
| 297 |
"sha256": "a74fb5fbe5fac688c6c016c52c18fe05b64666f0afcc65bfb2fdcca76738fcd4"
|
|
@@ -346,9 +346,12 @@
|
|
| 346 |
},
|
| 347 |
"9000": {
|
| 348 |
"sha256": "fea4e22467794409ed47faa39f73fe99ad9f02ea4613d16fdef14231e598531c"
|
|
|
|
|
|
|
|
|
|
| 349 |
}
|
| 350 |
},
|
| 351 |
-
"revision": "
|
| 352 |
},
|
| 353 |
{
|
| 354 |
"name": "json-sft-512",
|
|
@@ -356,7 +359,7 @@
|
|
| 356 |
"flavour": "sft",
|
| 357 |
"resolution": 512,
|
| 358 |
"status": "training",
|
| 359 |
-
"observed_step":
|
| 360 |
"checkpoints": {
|
| 361 |
"500": {
|
| 362 |
"sha256": "a4625d7044ce6b060bff3d802e9e0a4c5992726ddd3330dcd702a061f4aa06da"
|
|
@@ -411,9 +414,12 @@
|
|
| 411 |
},
|
| 412 |
"9000": {
|
| 413 |
"sha256": "4b895c013c3ce2b939e8a92793da292c0c5092133005969ca05a6a2fe34430f4"
|
|
|
|
|
|
|
|
|
|
| 414 |
}
|
| 415 |
},
|
| 416 |
-
"revision": "
|
| 417 |
}
|
| 418 |
]
|
| 419 |
}
|
|
|
|
| 291 |
"flavour": "base",
|
| 292 |
"resolution": 512,
|
| 293 |
"status": "training",
|
| 294 |
+
"observed_step": 9640,
|
| 295 |
"checkpoints": {
|
| 296 |
"500": {
|
| 297 |
"sha256": "a74fb5fbe5fac688c6c016c52c18fe05b64666f0afcc65bfb2fdcca76738fcd4"
|
|
|
|
| 346 |
},
|
| 347 |
"9000": {
|
| 348 |
"sha256": "fea4e22467794409ed47faa39f73fe99ad9f02ea4613d16fdef14231e598531c"
|
| 349 |
+
},
|
| 350 |
+
"9500": {
|
| 351 |
+
"sha256": "0ad71b93266a33824cbdd82d08989c9f7fea44a9d22c278104d7bb5a90feb4de"
|
| 352 |
}
|
| 353 |
},
|
| 354 |
+
"revision": "b411cea31694327d45fe903057825e2bdbfaceff"
|
| 355 |
},
|
| 356 |
{
|
| 357 |
"name": "json-sft-512",
|
|
|
|
| 359 |
"flavour": "sft",
|
| 360 |
"resolution": 512,
|
| 361 |
"status": "training",
|
| 362 |
+
"observed_step": 9680,
|
| 363 |
"checkpoints": {
|
| 364 |
"500": {
|
| 365 |
"sha256": "a4625d7044ce6b060bff3d802e9e0a4c5992726ddd3330dcd702a061f4aa06da"
|
|
|
|
| 414 |
},
|
| 415 |
"9000": {
|
| 416 |
"sha256": "4b895c013c3ce2b939e8a92793da292c0c5092133005969ca05a6a2fe34430f4"
|
| 417 |
+
},
|
| 418 |
+
"9500": {
|
| 419 |
+
"sha256": "d9ebaddb2d835657fe999c9111f171af9a19f412fe1a93f7a6cd0ad1d91e2e4d"
|
| 420 |
}
|
| 421 |
},
|
| 422 |
+
"revision": "d4f3d90850d2da0f1391211e8bacf7f82bb1c7c9"
|
| 423 |
}
|
| 424 |
]
|
| 425 |
}
|