Instructions to use hf-internal-testing/tiny-sdxl-custom-components with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-sdxl-custom-components with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-sdxl-custom-components", 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 ·
648f989
1
Parent(s): 2d7be9e
Update model_index.json
Browse files- model_index.json +4 -4
model_index.json
CHANGED
|
@@ -3,8 +3,8 @@
|
|
| 3 |
"_diffusers_version": "0.18.1",
|
| 4 |
"force_zeros_for_empty_prompt": true,
|
| 5 |
"scheduler": [
|
| 6 |
-
"
|
| 7 |
-
"
|
| 8 |
],
|
| 9 |
"text_encoder": [
|
| 10 |
"transformers",
|
|
@@ -23,8 +23,8 @@
|
|
| 23 |
"CLIPTokenizer"
|
| 24 |
],
|
| 25 |
"unet": [
|
| 26 |
-
"
|
| 27 |
-
"
|
| 28 |
],
|
| 29 |
"vae": [
|
| 30 |
"diffusers",
|
|
|
|
| 3 |
"_diffusers_version": "0.18.1",
|
| 4 |
"force_zeros_for_empty_prompt": true,
|
| 5 |
"scheduler": [
|
| 6 |
+
"my_scheduler",
|
| 7 |
+
"MyScheduler"
|
| 8 |
],
|
| 9 |
"text_encoder": [
|
| 10 |
"transformers",
|
|
|
|
| 23 |
"CLIPTokenizer"
|
| 24 |
],
|
| 25 |
"unet": [
|
| 26 |
+
"my_unet_model",
|
| 27 |
+
"MyUNetModel"
|
| 28 |
],
|
| 29 |
"vae": [
|
| 30 |
"diffusers",
|