Instructions to use diffusers-test/deli_text_encoder-fluentlyxl_text_encoder-test-XL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-test/deli_text_encoder-fluentlyxl_text_encoder-test-XL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers-test/deli_text_encoder-fluentlyxl_text_encoder-test-XL", 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
Update tokenizer_2/added_tokens.json
Browse files
tokenizer_2/added_tokens.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
"!": 0,
|
| 3 |
"<|endoftext|>": 49407,
|
| 4 |
-
"<|startoftext|>":
|
| 5 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"!": 0,
|
| 3 |
"<|endoftext|>": 49407,
|
| 4 |
+
"<|startoftext|>": 49406
|
| 5 |
}
|