Instructions to use lambda/sd-pokemon-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lambda/sd-pokemon-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("lambda/sd-pokemon-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
Update scheduler/scheduler_config.json
#1
by patrickvonplaten - opened
scheduler/scheduler_config.json
CHANGED
|
@@ -6,5 +6,6 @@
|
|
| 6 |
"beta_start": 0.00085,
|
| 7 |
"num_train_timesteps": 1000,
|
| 8 |
"skip_prk_steps": true,
|
| 9 |
-
"trained_betas": null
|
|
|
|
| 10 |
}
|
|
|
|
| 6 |
"beta_start": 0.00085,
|
| 7 |
"num_train_timesteps": 1000,
|
| 8 |
"skip_prk_steps": true,
|
| 9 |
+
"trained_betas": null,
|
| 10 |
+
"steps_offset": 1
|
| 11 |
}
|