Instructions to use diffusers-test/test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-test/test1 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/test1", 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
Upload 5 files
Browse files- tokenizer/tokenizer.json +0 -0
- tokenizer/tokenizer_config.json +1 -1
- tokenizer/vocab.json +0 -0
tokenizer/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer/tokenizer_config.json
CHANGED
|
@@ -21,7 +21,7 @@
|
|
| 21 |
"errors": "replace",
|
| 22 |
"model_max_length": 77,
|
| 23 |
"pad_token": "<|endoftext|>",
|
| 24 |
-
"tokenizer_class": "
|
| 25 |
"unk_token": {
|
| 26 |
"__type": "AddedToken",
|
| 27 |
"content": "<|endoftext|>",
|
|
|
|
| 21 |
"errors": "replace",
|
| 22 |
"model_max_length": 77,
|
| 23 |
"pad_token": "<|endoftext|>",
|
| 24 |
+
"tokenizer_class": "CLIPTokenizer",
|
| 25 |
"unk_token": {
|
| 26 |
"__type": "AddedToken",
|
| 27 |
"content": "<|endoftext|>",
|
tokenizer/vocab.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|