Instructions to use Fictiverse/Stable_Diffusion_Microscopic_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fictiverse/Stable_Diffusion_Microscopic_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Fictiverse/Stable_Diffusion_Microscopic_model", 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 ·
add411e
1
Parent(s): 98fc890
Update README.md
Browse files
README.md
CHANGED
|
@@ -27,12 +27,12 @@ You can also export the model to [ONNX](https://huggingface.co/docs/diffusers/op
|
|
| 27 |
from diffusers import StableDiffusionPipeline
|
| 28 |
import torch
|
| 29 |
|
| 30 |
-
model_id = "Fictiverse/
|
| 31 |
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
|
| 32 |
pipe = pipe.to("cuda")
|
| 33 |
|
| 34 |
-
prompt = "
|
| 35 |
image = pipe(prompt).images[0]
|
| 36 |
|
| 37 |
-
image.save("./
|
| 38 |
```
|
|
|
|
| 27 |
from diffusers import StableDiffusionPipeline
|
| 28 |
import torch
|
| 29 |
|
| 30 |
+
model_id = "Fictiverse/Stable_Diffusion_Microscopic_model"
|
| 31 |
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
|
| 32 |
pipe = pipe.to("cuda")
|
| 33 |
|
| 34 |
+
prompt = "microscopic creature"
|
| 35 |
image = pipe(prompt).images[0]
|
| 36 |
|
| 37 |
+
image.save("./microscopic.png")
|
| 38 |
```
|