Instructions to use EnD-Diffusers/Dec2023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/Dec2023 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/Dec2023", 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
Commit ·
718e0d1
1
Parent(s): f70281b
Update README.md
Browse files
README.md
CHANGED
|
@@ -2,6 +2,8 @@
|
|
| 2 |
license: creativeml-openrail-m
|
| 3 |
datasets:
|
| 4 |
- EarthnDusk/Creative-Embeddings-OLD
|
|
|
|
|
|
|
| 5 |
language:
|
| 6 |
- en
|
| 7 |
pipeline_tag: text-to-image
|
|
|
|
| 2 |
license: creativeml-openrail-m
|
| 3 |
datasets:
|
| 4 |
- EarthnDusk/Creative-Embeddings-OLD
|
| 5 |
+
- fka/awesome-chatgpt-prompts
|
| 6 |
+
- EarthnDusk/Embeddings
|
| 7 |
language:
|
| 8 |
- en
|
| 9 |
pipeline_tag: text-to-image
|