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) | 2,
|
| 52 |
-
| [json-sft-512](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-json-512) | 2,
|
|
|
|
| 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) | 2,520 / 10,000 | [2,500](https://huggingface.co/SimpleTuner/moss-image-base-domokun-json-512/tree/main/checkpoint-2500) | training |
|
| 52 |
+
| [json-sft-512](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-json-512) | 2,520 / 10,000 | [2,500](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-json-512/tree/main/checkpoint-2500) | 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"
|
|
@@ -304,9 +304,12 @@
|
|
| 304 |
},
|
| 305 |
"2000": {
|
| 306 |
"sha256": "f670f117f6f303044c9cb797804323fa2241792983c72278fe2443717de90f0f"
|
|
|
|
|
|
|
|
|
|
| 307 |
}
|
| 308 |
},
|
| 309 |
-
"revision": "
|
| 310 |
},
|
| 311 |
{
|
| 312 |
"name": "json-sft-512",
|
|
@@ -314,7 +317,7 @@
|
|
| 314 |
"flavour": "sft",
|
| 315 |
"resolution": 512,
|
| 316 |
"status": "training",
|
| 317 |
-
"observed_step":
|
| 318 |
"checkpoints": {
|
| 319 |
"500": {
|
| 320 |
"sha256": "a4625d7044ce6b060bff3d802e9e0a4c5992726ddd3330dcd702a061f4aa06da"
|
|
@@ -327,9 +330,12 @@
|
|
| 327 |
},
|
| 328 |
"2000": {
|
| 329 |
"sha256": "1238c9142f4af650335012080b345866c6cce12668b8994f7793e373f8d5fb43"
|
|
|
|
|
|
|
|
|
|
| 330 |
}
|
| 331 |
},
|
| 332 |
-
"revision": "
|
| 333 |
}
|
| 334 |
]
|
| 335 |
}
|
|
|
|
| 291 |
"flavour": "base",
|
| 292 |
"resolution": 512,
|
| 293 |
"status": "training",
|
| 294 |
+
"observed_step": 2520,
|
| 295 |
"checkpoints": {
|
| 296 |
"500": {
|
| 297 |
"sha256": "a74fb5fbe5fac688c6c016c52c18fe05b64666f0afcc65bfb2fdcca76738fcd4"
|
|
|
|
| 304 |
},
|
| 305 |
"2000": {
|
| 306 |
"sha256": "f670f117f6f303044c9cb797804323fa2241792983c72278fe2443717de90f0f"
|
| 307 |
+
},
|
| 308 |
+
"2500": {
|
| 309 |
+
"sha256": "be7fd3b85c2f298e59a535cb6497566c269143d4d547a4d29a00bc0b159b88d6"
|
| 310 |
}
|
| 311 |
},
|
| 312 |
+
"revision": "40636f23c8a59e99aed91b90a86752a99d7aa284"
|
| 313 |
},
|
| 314 |
{
|
| 315 |
"name": "json-sft-512",
|
|
|
|
| 317 |
"flavour": "sft",
|
| 318 |
"resolution": 512,
|
| 319 |
"status": "training",
|
| 320 |
+
"observed_step": 2520,
|
| 321 |
"checkpoints": {
|
| 322 |
"500": {
|
| 323 |
"sha256": "a4625d7044ce6b060bff3d802e9e0a4c5992726ddd3330dcd702a061f4aa06da"
|
|
|
|
| 330 |
},
|
| 331 |
"2000": {
|
| 332 |
"sha256": "1238c9142f4af650335012080b345866c6cce12668b8994f7793e373f8d5fb43"
|
| 333 |
+
},
|
| 334 |
+
"2500": {
|
| 335 |
+
"sha256": "e72c8628bf318e77d331c0cccc8e1af95a3830c0462108659e4cad5385ec3523"
|
| 336 |
}
|
| 337 |
},
|
| 338 |
+
"revision": "6f0e9ba631294a67da70c35b27784dbef33bbf3d"
|
| 339 |
}
|
| 340 |
]
|
| 341 |
}
|