242-continuous-subject-specific-attribute-control-in-t2i-models-by-identifying-semantic-directions
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- Host: GitHub
- Owner: SZU-AdvTech-2024
- Default Branch: main
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· Last pushed over 1 year ago
Metadata Files
Citation
https://github.com/SZU-AdvTech-2024/242-Continuous-Subject-Specific-Attribute-Control-in-T2I-Models-by-Identifying-Semantic-Directions/blob/main/
# Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions
##
,(Text to Image,T2I).,(""),.,,.,CLIP,.,,.,(),,.
##
Githubhttps://github.com/CompVis/attribute-control
READMEREADME
##
- python3.9.20
- CUDA 12.4
requirements.txt
```bash
pip install -r requirements.txt
```
##
stable-diffusion-xl-base-1.0
##
```bash
python learn_delta.py device=cuda:0 model=sdxl prompts=people/age
```
```bash
python learn_delta.py device=cuda:0 model=sdxl prompts=people/age model.compile=False +model.gradient_checkpointing=True
```
##
notebooks/inference_sdxl.ipynbblock3
```python
state_dict = torch.load('enter your delta result here')
#
```
##
- pretrained_deltas
- outputs
- outputs\learn_delta\people\age\runs\2024-11-24\02-28-23
-
```python
#
max_steps: 1000
batch_size: 1
grad_accum_steps: 8
scale_batch_size: 4
```
- outputs\learn_delta\people\age\runs\2024-12-06\14-25-43
-
```python
#
max_steps: 2000
batch_size: 1
grad_accum_steps: 8
scale_batch_size: 4
```
- outputs\learn_delta\people\age\runs\2025-01-07\07-35-18
-
```python
#
max_steps: 1000
batch_size: 1
grad_accum_steps: 5
scale_batch_size: 4
```
- outputs\learn_delta\people\age\runs\2025-01-08\08-57-38
-
```python
#
max_steps: 500
batch_size: 1
grad_accum_steps: 8
scale_batch_size: 4
```
Owner
- Name: SZU-AdvTech-2024
- Login: SZU-AdvTech-2024
- Kind: organization
- Repositories: 1
- Profile: https://github.com/SZU-AdvTech-2024
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