Instructions to use sachit-menon/illustrated_instructions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sachit-menon/illustrated_instructions with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sachit-menon/illustrated_instructions", 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
Update snt_pipeline.py
Browse files- snt_pipeline.py +1 -1
snt_pipeline.py
CHANGED
|
@@ -39,7 +39,7 @@ from diffusers.pipelines.pipeline_utils import DiffusionPipeline
|
|
| 39 |
from diffusers.pipelines.stable_diffusion import StableDiffusionPipelineOutput
|
| 40 |
from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker
|
| 41 |
|
| 42 |
-
from sd_model import SDModel
|
| 43 |
|
| 44 |
|
| 45 |
logger = logging.get_logger(__name__) # pylint: disable=invalid-name
|
|
|
|
| 39 |
from diffusers.pipelines.stable_diffusion import StableDiffusionPipelineOutput
|
| 40 |
from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker
|
| 41 |
|
| 42 |
+
from .sd_model import SDModel
|
| 43 |
|
| 44 |
|
| 45 |
logger = logging.get_logger(__name__) # pylint: disable=invalid-name
|