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
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) | 7,
|
| 52 |
-
| [json-sft-512](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-json-512) | 7,
|
|
|
|
| 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) | 7,960 / 10,000 | [7,500](https://huggingface.co/SimpleTuner/moss-image-base-domokun-json-512/tree/main/checkpoint-7500) | training |
|
| 52 |
+
| [json-sft-512](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-json-512) | 7,990 / 10,000 | [7,500](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-json-512/tree/main/checkpoint-7500) | 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"
|
|
@@ -339,7 +339,7 @@
|
|
| 339 |
"sha256": "9cdc97de05ef4d3e30dac178445f93589cc74d91ac9f8549c3d4cff9bbdb5102"
|
| 340 |
}
|
| 341 |
},
|
| 342 |
-
"revision": "
|
| 343 |
},
|
| 344 |
{
|
| 345 |
"name": "json-sft-512",
|
|
@@ -347,7 +347,7 @@
|
|
| 347 |
"flavour": "sft",
|
| 348 |
"resolution": 512,
|
| 349 |
"status": "training",
|
| 350 |
-
"observed_step":
|
| 351 |
"checkpoints": {
|
| 352 |
"500": {
|
| 353 |
"sha256": "a4625d7044ce6b060bff3d802e9e0a4c5992726ddd3330dcd702a061f4aa06da"
|
|
@@ -395,7 +395,7 @@
|
|
| 395 |
"sha256": "fb4ae47f1c7376710504f7aa13283d6632affc0348f5d922589afe1493ea65de"
|
| 396 |
}
|
| 397 |
},
|
| 398 |
-
"revision": "
|
| 399 |
}
|
| 400 |
]
|
| 401 |
}
|
|
|
|
| 291 |
"flavour": "base",
|
| 292 |
"resolution": 512,
|
| 293 |
"status": "training",
|
| 294 |
+
"observed_step": 7960,
|
| 295 |
"checkpoints": {
|
| 296 |
"500": {
|
| 297 |
"sha256": "a74fb5fbe5fac688c6c016c52c18fe05b64666f0afcc65bfb2fdcca76738fcd4"
|
|
|
|
| 339 |
"sha256": "9cdc97de05ef4d3e30dac178445f93589cc74d91ac9f8549c3d4cff9bbdb5102"
|
| 340 |
}
|
| 341 |
},
|
| 342 |
+
"revision": "699400b40d9a1747755af64f9040b2eec1a6e6ef"
|
| 343 |
},
|
| 344 |
{
|
| 345 |
"name": "json-sft-512",
|
|
|
|
| 347 |
"flavour": "sft",
|
| 348 |
"resolution": 512,
|
| 349 |
"status": "training",
|
| 350 |
+
"observed_step": 7990,
|
| 351 |
"checkpoints": {
|
| 352 |
"500": {
|
| 353 |
"sha256": "a4625d7044ce6b060bff3d802e9e0a4c5992726ddd3330dcd702a061f4aa06da"
|
|
|
|
| 395 |
"sha256": "fb4ae47f1c7376710504f7aa13283d6632affc0348f5d922589afe1493ea65de"
|
| 396 |
}
|
| 397 |
},
|
| 398 |
+
"revision": "1c671285181e557c374b20a5dc83af2aa2eda73f"
|
| 399 |
}
|
| 400 |
]
|
| 401 |
}
|