Instructions to use stabilityai/stable-diffusion-xl-base-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/stable-diffusion-xl-base-1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Hydro
#201
by PowderS - opened
README.md
CHANGED
|
@@ -3,6 +3,17 @@ license: openrail++
|
|
| 3 |
tags:
|
| 4 |
- text-to-image
|
| 5 |
- stable-diffusion
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
---
|
| 7 |
# SD-XL 1.0-base Model Card
|
| 8 |

|
|
@@ -212,4 +223,4 @@ The model was not trained to be factual or true representations of people or eve
|
|
| 212 |
- The autoencoding part of the model is lossy.
|
| 213 |
|
| 214 |
### Bias
|
| 215 |
-
While the capabilities of image generation models are impressive, they can also reinforce or exacerbate social biases.
|
|
|
|
| 3 |
tags:
|
| 4 |
- text-to-image
|
| 5 |
- stable-diffusion
|
| 6 |
+
datasets:
|
| 7 |
+
- HuggingFaceFV/finevideo
|
| 8 |
+
language:
|
| 9 |
+
- ru
|
| 10 |
+
- en
|
| 11 |
+
metrics:
|
| 12 |
+
- bleu
|
| 13 |
+
base_model:
|
| 14 |
+
- black-forest-labs/FLUX.1-dev
|
| 15 |
+
pipeline_tag: image-to-image
|
| 16 |
+
library_name: adapter-transformers
|
| 17 |
---
|
| 18 |
# SD-XL 1.0-base Model Card
|
| 19 |

|
|
|
|
| 223 |
- The autoencoding part of the model is lossy.
|
| 224 |
|
| 225 |
### Bias
|
| 226 |
+
While the capabilities of image generation models are impressive, they can also reinforce or exacerbate social biases.
|