Instructions to use personal1802/34per with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use personal1802/34per with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("latent-consistency/lcm-lora-sdv1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("personal1802/34per") prompt = "1milf, simple background" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from personal1802/34per: direct link, hf CLI and curl.
- Browser
- Download file 750 Bytes
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https://huggingface.co/personal1802/34per/resolve/main/README.md
- Command line
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hf download hf://personal1802/34per/README.md
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curl -L -o README.md https://huggingface.co/personal1802/34per/resolve/main/README.md
750 Bytes
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| - lora | |
| - diffusers | |
| - template:sd-lora | |
| widget: | |
| - text: 1milf, simple background | |
| parameters: | |
| negative_prompt: >- | |
| (worst quality,low quality:1.4), easynegative, bad-hands-5, choker, bag, | |
| handbag, plastic bag, mole, nsfw, | |
| output: | |
| url: images/00858-20231201_011508_607670.png | |
| base_model: latent-consistency/lcm-lora-sdv1-5 | |
| instance_prompt: null | |
| # cgTextureLightAnd_norfleetV15x0.5+kakarot25DCozy_cozyx0.5.fp16x0.5+kakarot28D_v17x0.5.fp16x0.5+dak%20jangx0.5.fp16x0.25+000A-002x0.75.fp16.safetensors | |
| <Gallery /> | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/personal1802/34per/tree/main) them in the Files & versions tab. | |