lucasdellabella
commited on
Commit
•
4e570ac
1
Parent(s):
32e327d
Model card auto-generated by SimpleTuner
Browse files
README.md
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
---
|
2 |
license: creativeml-openrail-m
|
3 |
-
base_model: "
|
4 |
tags:
|
5 |
- sdxl
|
6 |
- sdxl-diffusers
|
@@ -17,7 +17,7 @@ inference: true
|
|
17 |
|
18 |
# simpletuner-lora
|
19 |
|
20 |
-
This is a LyCORIS adapter derived from [
|
21 |
|
22 |
|
23 |
The main validation prompt used during training was:
|
@@ -50,7 +50,7 @@ You may reuse the base model text encoder for inference.
|
|
50 |
## Training settings
|
51 |
|
52 |
- Training epochs: 1
|
53 |
-
- Training steps:
|
54 |
- Learning rate: 0.0001
|
55 |
- Effective batch size: 16
|
56 |
- Micro-batch size: 16
|
@@ -130,7 +130,7 @@ import torch
|
|
130 |
from diffusers import DiffusionPipeline
|
131 |
from lycoris import create_lycoris_from_weights
|
132 |
|
133 |
-
model_id = '
|
134 |
adapter_id = 'pytorch_lora_weights.safetensors' # you will have to download this manually
|
135 |
lora_scale = 1.0
|
136 |
wrapper, _ = create_lycoris_from_weights(lora_scale, adapter_id, pipeline.transformer)
|
|
|
1 |
---
|
2 |
license: creativeml-openrail-m
|
3 |
+
base_model: "Lykon/dreamshaper-xl-v2-turbo"
|
4 |
tags:
|
5 |
- sdxl
|
6 |
- sdxl-diffusers
|
|
|
17 |
|
18 |
# simpletuner-lora
|
19 |
|
20 |
+
This is a LyCORIS adapter derived from [Lykon/dreamshaper-xl-v2-turbo](https://huggingface.co/Lykon/dreamshaper-xl-v2-turbo).
|
21 |
|
22 |
|
23 |
The main validation prompt used during training was:
|
|
|
50 |
## Training settings
|
51 |
|
52 |
- Training epochs: 1
|
53 |
+
- Training steps: 100
|
54 |
- Learning rate: 0.0001
|
55 |
- Effective batch size: 16
|
56 |
- Micro-batch size: 16
|
|
|
130 |
from diffusers import DiffusionPipeline
|
131 |
from lycoris import create_lycoris_from_weights
|
132 |
|
133 |
+
model_id = 'Lykon/dreamshaper-xl-v2-turbo'
|
134 |
adapter_id = 'pytorch_lora_weights.safetensors' # you will have to download this manually
|
135 |
lora_scale = 1.0
|
136 |
wrapper, _ = create_lycoris_from_weights(lora_scale, adapter_id, pipeline.transformer)
|