Instructions to use Fictiverse/Stable_Diffusion_PaperCut_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fictiverse/Stable_Diffusion_PaperCut_Model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Fictiverse/Stable_Diffusion_PaperCut_Model", 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
- Draw Things
- DiffusionBee
Commit ·
1bada1c
1
Parent(s): 0e9cfa9
Add text-to-image tag (#7)
Browse files- Add text-to-image tag (f83f63943ee20bf3245d53510138bcc68a7ba1b4)
Co-authored-by: Multimodal AI art <multimodalart@users.noreply.huggingface.co>
README.md
CHANGED
|
@@ -1,5 +1,7 @@
|
|
| 1 |
---
|
| 2 |
license: creativeml-openrail-m
|
|
|
|
|
|
|
| 3 |
---
|
| 4 |
# Paper Cut model V1
|
| 5 |
This is the fine-tuned Stable Diffusion model trained on Paper Cut images.
|
|
|
|
| 1 |
---
|
| 2 |
license: creativeml-openrail-m
|
| 3 |
+
tags:
|
| 4 |
+
- text-to-image
|
| 5 |
---
|
| 6 |
# Paper Cut model V1
|
| 7 |
This is the fine-tuned Stable Diffusion model trained on Paper Cut images.
|