Text-to-Image
Diffusers
TensorBoard
Safetensors
English
StableDiffusionPipeline
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use ZB-Tech/Text-to-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ZB-Tech/Text-to-Image 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") pipe.load_lora_weights("ZB-Tech/Text-to-Image") prompt = "Draw a picture of two female boxers fighting each other." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -18,8 +18,7 @@ widget:
|
|
| 18 |
datasets:
|
| 19 |
- ZB-Tech/DreamXL
|
| 20 |
language:
|
| 21 |
-
-
|
| 22 |
-
|
| 23 |
---
|
| 24 |
|
| 25 |
<!-- This model card has been generated automatically according to the information the training script had access to. You
|
|
|
|
| 18 |
datasets:
|
| 19 |
- ZB-Tech/DreamXL
|
| 20 |
language:
|
| 21 |
+
- fa
|
|
|
|
| 22 |
---
|
| 23 |
|
| 24 |
<!-- This model card has been generated automatically according to the information the training script had access to. You
|