Instructions to use personal1802/11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use personal1802/11 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("personal1802/11") prompt = "(1milf, solo, intricate details, chromatic aberration), (realistic),(upper body),blond hair, red eyes, long face, large breast, wide hips, hard thigh, cropped top, leather jacket, wind, city, main street, leaning on a wall, from below, (glow_white_particles:1.1), happy, smile," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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Browse files
images/00070-20231116_233748_120738.png
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Git LFS Details
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kakarot28DColor_colorPrunedx0.7+000A-002x0.3.fp16.safetensors
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version https://git-lfs.github.com/spec/v1
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size 2567375522
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