Instructions to use SY573M404/f222-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SY573M404/f222-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SY573M404/f222-diffusers", 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
Upload diffusers weights
Browse files- model_index.json +1 -1
- scheduler/scheduler_config.json +1 -1
model_index.json
CHANGED
|
@@ -12,7 +12,7 @@
|
|
| 12 |
],
|
| 13 |
"scheduler": [
|
| 14 |
"diffusers",
|
| 15 |
-
"
|
| 16 |
],
|
| 17 |
"text_encoder": [
|
| 18 |
"transformers",
|
|
|
|
| 12 |
],
|
| 13 |
"scheduler": [
|
| 14 |
"diffusers",
|
| 15 |
+
"EulerAncestralDiscreteScheduler"
|
| 16 |
],
|
| 17 |
"text_encoder": [
|
| 18 |
"transformers",
|
scheduler/scheduler_config.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"_class_name": "
|
| 3 |
"_diffusers_version": "0.11.1",
|
| 4 |
"beta_end": 0.012,
|
| 5 |
"beta_schedule": "scaled_linear",
|
|
|
|
| 1 |
{
|
| 2 |
+
"_class_name": "EulerAncestralDiscreteScheduler",
|
| 3 |
"_diffusers_version": "0.11.1",
|
| 4 |
"beta_end": 0.012,
|
| 5 |
"beta_schedule": "scaled_linear",
|