Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use hbiny/4_text2img with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hbiny/4_text2img 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("hbiny/4_text2img") prompt = "d0nar1dk, salute" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7731f8583172d4b254bb8dd72f0e8c81ad5ac6bc5d2bfa3f01a9796fee473983
- Size of remote file:
- 15.1 MB
- SHA256:
- 5348d6d49afa99b1a7ca57863d2ac7c40cb583555fda0b4adc9e383d3e1891eb
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