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
|
@@ -45,8 +45,8 @@ the JSON runs use the shared schema implementation from [PR #3273](https://githu
|
|
| 45 |
| Run | Observed updates | Latest published checkpoint | Status |
|
| 46 |
| --- | ---: | ---: | --- |
|
| 47 |
| [base-512](https://huggingface.co/SimpleTuner/moss-image-base-domokun-512) | 10,000 / 10,000 | [10,000](https://huggingface.co/SimpleTuner/moss-image-base-domokun-512/tree/main/checkpoint-10000) | completed |
|
| 48 |
-
| [base-1024](https://huggingface.co/SimpleTuner/moss-image-base-domokun-1024) | 7,
|
| 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) | 7,
|
| 51 |
| [json-base-512](https://huggingface.co/SimpleTuner/moss-image-base-domokun-json-512) | 0 / 10,000 | — | queued |
|
| 52 |
| [json-sft-512](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-json-512) | 0 / 10,000 | — | queued |
|
|
|
|
| 45 |
| Run | Observed updates | Latest published checkpoint | Status |
|
| 46 |
| --- | ---: | ---: | --- |
|
| 47 |
| [base-512](https://huggingface.co/SimpleTuner/moss-image-base-domokun-512) | 10,000 / 10,000 | [10,000](https://huggingface.co/SimpleTuner/moss-image-base-domokun-512/tree/main/checkpoint-10000) | completed |
|
| 48 |
+
| [base-1024](https://huggingface.co/SimpleTuner/moss-image-base-domokun-1024) | 7,580 / 10,000 | [7,500](https://huggingface.co/SimpleTuner/moss-image-base-domokun-1024/tree/main/checkpoint-7500) | training |
|
| 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) | 7,600 / 10,000 | [7,500](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-1024/tree/main/checkpoint-7500) | training |
|
| 51 |
| [json-base-512](https://huggingface.co/SimpleTuner/moss-image-base-domokun-json-512) | 0 / 10,000 | — | queued |
|
| 52 |
| [json-sft-512](https://huggingface.co/SimpleTuner/moss-image-sft-domokun-json-512) | 0 / 10,000 | — | queued |
|
manifest.json
CHANGED
|
@@ -78,7 +78,7 @@
|
|
| 78 |
"flavour": "base",
|
| 79 |
"resolution": 1024,
|
| 80 |
"status": "training",
|
| 81 |
-
"observed_step":
|
| 82 |
"checkpoints": {
|
| 83 |
"500": {
|
| 84 |
"sha256": "a41792bb3269c8779b8a26dc7272e8c4a4119f3b0267ca14ff9aeab213b9db57"
|
|
@@ -121,9 +121,12 @@
|
|
| 121 |
},
|
| 122 |
"7000": {
|
| 123 |
"sha256": "b7b4ea219573f9f61ffa5a17c97adfa2d19f73b5b59d6b1e03ae6a405f2a2e34"
|
|
|
|
|
|
|
|
|
|
| 124 |
}
|
| 125 |
},
|
| 126 |
-
"revision": "
|
| 127 |
},
|
| 128 |
{
|
| 129 |
"name": "sft-512",
|
|
@@ -202,7 +205,7 @@
|
|
| 202 |
"flavour": "sft",
|
| 203 |
"resolution": 1024,
|
| 204 |
"status": "training",
|
| 205 |
-
"observed_step":
|
| 206 |
"checkpoints": {
|
| 207 |
"500": {
|
| 208 |
"sha256": "c89a1768b980a87532a2d52959ab32589f16c041c56248d5b33f7d73500f5770"
|
|
@@ -245,9 +248,12 @@
|
|
| 245 |
},
|
| 246 |
"7000": {
|
| 247 |
"sha256": "87d48f549d0898ad407dcbb2daba52c81e5f54ce98f989040bfcbfa2d05b5008"
|
|
|
|
|
|
|
|
|
|
| 248 |
}
|
| 249 |
},
|
| 250 |
-
"revision": "
|
| 251 |
},
|
| 252 |
{
|
| 253 |
"name": "json-base-512",
|
|
|
|
| 78 |
"flavour": "base",
|
| 79 |
"resolution": 1024,
|
| 80 |
"status": "training",
|
| 81 |
+
"observed_step": 7580,
|
| 82 |
"checkpoints": {
|
| 83 |
"500": {
|
| 84 |
"sha256": "a41792bb3269c8779b8a26dc7272e8c4a4119f3b0267ca14ff9aeab213b9db57"
|
|
|
|
| 121 |
},
|
| 122 |
"7000": {
|
| 123 |
"sha256": "b7b4ea219573f9f61ffa5a17c97adfa2d19f73b5b59d6b1e03ae6a405f2a2e34"
|
| 124 |
+
},
|
| 125 |
+
"7500": {
|
| 126 |
+
"sha256": "9a82049e71483b2a7561aeda60e3e2c0dbb199d071dd40ee85fbc407aab40cbc"
|
| 127 |
}
|
| 128 |
},
|
| 129 |
+
"revision": "f72dd389f839c1ea16015056fb8ed9d83a4a5c57"
|
| 130 |
},
|
| 131 |
{
|
| 132 |
"name": "sft-512",
|
|
|
|
| 205 |
"flavour": "sft",
|
| 206 |
"resolution": 1024,
|
| 207 |
"status": "training",
|
| 208 |
+
"observed_step": 7600,
|
| 209 |
"checkpoints": {
|
| 210 |
"500": {
|
| 211 |
"sha256": "c89a1768b980a87532a2d52959ab32589f16c041c56248d5b33f7d73500f5770"
|
|
|
|
| 248 |
},
|
| 249 |
"7000": {
|
| 250 |
"sha256": "87d48f549d0898ad407dcbb2daba52c81e5f54ce98f989040bfcbfa2d05b5008"
|
| 251 |
+
},
|
| 252 |
+
"7500": {
|
| 253 |
+
"sha256": "37013694678ce18482e27baae5e4d87a62fae2279c4ebd4a3f367b36dd3ef179"
|
| 254 |
}
|
| 255 |
},
|
| 256 |
+
"revision": "e114bf2701e772d33d38f4f12ab99a7a9f4799e9"
|
| 257 |
},
|
| 258 |
{
|
| 259 |
"name": "json-base-512",
|