Instructions to use janannfndnd/SABA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use janannfndnd/SABA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("janannfndnd/SABA") prompt = "SABA" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -9,7 +9,7 @@ tags:
|
|
| 9 |
- diffusers
|
| 10 |
- lora
|
| 11 |
- replicate
|
| 12 |
-
base_model:
|
| 13 |
pipeline_tag: text-to-image
|
| 14 |
instance_prompt: SABA
|
| 15 |
---
|
|
@@ -36,4 +36,4 @@ pipeline.load_lora_weights('janannfndnd/SABA', weight_name='lora.safetensors')
|
|
| 36 |
image = pipeline('your prompt').images[0]
|
| 37 |
```
|
| 38 |
|
| 39 |
-
For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
|
|
|
|
| 9 |
- diffusers
|
| 10 |
- lora
|
| 11 |
- replicate
|
| 12 |
+
base_model: black-forest-labs/FLUX.1-schnell
|
| 13 |
pipeline_tag: text-to-image
|
| 14 |
instance_prompt: SABA
|
| 15 |
---
|
|
|
|
| 36 |
image = pipeline('your prompt').images[0]
|
| 37 |
```
|
| 38 |
|
| 39 |
+
For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
|