Instructions to use tabtap/sd-v1-5.safetensor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tabtap/sd-v1-5.safetensor with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tabtap/sd-v1-5.safetensor") prompt = "china girl hottie, fine eyes++, confident, super seductive, super alluring creamy, seductive pose, brothel, wet skin, wet big breasts, no shirt bra ++, 8k portrait of beautiful with fine hair, intricate, elegant, highly detailed, majestic, digital photography, art by artgerm and ruan jia and greg rutkowski surreal painting gold butterfly filigree, broken glass, (masterpiece, sidelighting, finely detailed beautiful eyes: 1.2), hdr, water magic, corneo_tentacle_sex, feel very enjoy," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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