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) | 5,
|
| 52 |
-
| [json-sft-512](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-json-512) | 5,
|
|
|
|
| 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) | 5,570 / 10,000 | [5,500](https://huggingface.co/SimpleTuner/moss-image-base-domokun-json-512/tree/main/checkpoint-5500) | training |
|
| 52 |
+
| [json-sft-512](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-json-512) | 5,590 / 10,000 | [5,500](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-json-512/tree/main/checkpoint-5500) | 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"
|
|
@@ -322,9 +322,12 @@
|
|
| 322 |
},
|
| 323 |
"5000": {
|
| 324 |
"sha256": "acbf7e58e4a6774623fd78fdd1f5a1441a68564a57cd8a40c1275963bf7eba68"
|
|
|
|
|
|
|
|
|
|
| 325 |
}
|
| 326 |
},
|
| 327 |
-
"revision": "
|
| 328 |
},
|
| 329 |
{
|
| 330 |
"name": "json-sft-512",
|
|
@@ -332,7 +335,7 @@
|
|
| 332 |
"flavour": "sft",
|
| 333 |
"resolution": 512,
|
| 334 |
"status": "training",
|
| 335 |
-
"observed_step":
|
| 336 |
"checkpoints": {
|
| 337 |
"500": {
|
| 338 |
"sha256": "a4625d7044ce6b060bff3d802e9e0a4c5992726ddd3330dcd702a061f4aa06da"
|
|
@@ -363,9 +366,12 @@
|
|
| 363 |
},
|
| 364 |
"5000": {
|
| 365 |
"sha256": "39c6c09b10b53fb7ab8034ec4edded87056f3b129ff12f76d92608d5a1a2f28a"
|
|
|
|
|
|
|
|
|
|
| 366 |
}
|
| 367 |
},
|
| 368 |
-
"revision": "
|
| 369 |
}
|
| 370 |
]
|
| 371 |
}
|
|
|
|
| 291 |
"flavour": "base",
|
| 292 |
"resolution": 512,
|
| 293 |
"status": "training",
|
| 294 |
+
"observed_step": 5570,
|
| 295 |
"checkpoints": {
|
| 296 |
"500": {
|
| 297 |
"sha256": "a74fb5fbe5fac688c6c016c52c18fe05b64666f0afcc65bfb2fdcca76738fcd4"
|
|
|
|
| 322 |
},
|
| 323 |
"5000": {
|
| 324 |
"sha256": "acbf7e58e4a6774623fd78fdd1f5a1441a68564a57cd8a40c1275963bf7eba68"
|
| 325 |
+
},
|
| 326 |
+
"5500": {
|
| 327 |
+
"sha256": "fc5831d1061f89851eed3e4ea9ba5fd910db2024d84b3bb240d9180b58c280e6"
|
| 328 |
}
|
| 329 |
},
|
| 330 |
+
"revision": "b8e1d67300eb2f922289b15ad6bbcebaf7c27c74"
|
| 331 |
},
|
| 332 |
{
|
| 333 |
"name": "json-sft-512",
|
|
|
|
| 335 |
"flavour": "sft",
|
| 336 |
"resolution": 512,
|
| 337 |
"status": "training",
|
| 338 |
+
"observed_step": 5590,
|
| 339 |
"checkpoints": {
|
| 340 |
"500": {
|
| 341 |
"sha256": "a4625d7044ce6b060bff3d802e9e0a4c5992726ddd3330dcd702a061f4aa06da"
|
|
|
|
| 366 |
},
|
| 367 |
"5000": {
|
| 368 |
"sha256": "39c6c09b10b53fb7ab8034ec4edded87056f3b129ff12f76d92608d5a1a2f28a"
|
| 369 |
+
},
|
| 370 |
+
"5500": {
|
| 371 |
+
"sha256": "074047aef88ca1b14e38bacb23dd8e7896537dd41472ce61303b2529d4302fef"
|
| 372 |
}
|
| 373 |
},
|
| 374 |
+
"revision": "52422ea0bb6741d6a596d862d0d94313b2545433"
|
| 375 |
}
|
| 376 |
]
|
| 377 |
}
|