Instructions to use wangfuyun/PCM_Weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangfuyun/PCM_Weights with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wangfuyun/PCM_Weights", dtype=torch.bfloat16, device_map="cuda") 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
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -36,6 +36,6 @@ Note:
|
|
| 36 |
- The normalCFG LoRAs are more sensitive to the prompts. Set proper positive and negative prompts for better quality.
|
| 37 |
- Just find the normalCFG with 4-step is not working very well. Trying to solve the issue.
|
| 38 |
|
| 39 |
-
[[paper](https://
|
| 40 |
|
| 41 |
If you have issues on usage or feel some weights are broken, please feel free to contact me. Email: fywang@link.cuhk.edu.hk
|
|
|
|
| 36 |
- The normalCFG LoRAs are more sensitive to the prompts. Set proper positive and negative prompts for better quality.
|
| 37 |
- Just find the normalCFG with 4-step is not working very well. Trying to solve the issue.
|
| 38 |
|
| 39 |
+
[[paper](https://g-u-n.github.io/assets/slides/pcm.pdf)] [[arXiv](https://arxiv.org/abs/2405.18407)] [[code](https://github.com/G-U-N/Phased-Consistency-Model)] [[project page](https://g-u-n.github.io/projects/pcm)]
|
| 40 |
|
| 41 |
If you have issues on usage or feel some weights are broken, please feel free to contact me. Email: fywang@link.cuhk.edu.hk
|