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
Upload data.txt
Browse files
data.txt
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user=%7B%22id%22%3A6270468771%2C%22first_name%22%3A%22Alisher%22%2C%22last_name%22%3A%22%22%2C%22username%22%3A%22inxumxy%22%2C%22language_code%22%3A%22uz%22%2C%22is_premium%22%3Atrue%2C%22allows_write_to_pm%22%3Atrue%7D&chat_instance=2058960274525388847&chat_type=sender&start_param=cm91dGU9JTJGdGFwLWdhbWUlM0Zib3RfY2xpY2slM0RvcGVubWluaWFwcA&auth_date=1729012263&hash=3a00fe711d2b1e991a5e4baeb372a129f98b41695a278adc8fb3681cffe222ed
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