Instructions to use Benevolent/Plumpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Benevolent/Plumpu 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("Benevolent/Plumpu") prompt = "masterpiece, best quality, outdoors, 1girl, solo, looking at viewer, cowboy shot, yellow eyes, plump, fat, sweat on body, sweat, <lora:Concept_Plump:1>," image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| - lora | |
| - diffusers | |
| - template:sd-lora | |
| widget: | |
| - text: >- | |
| masterpiece, best quality, outdoors, 1girl, solo, looking at viewer, cowboy | |
| shot, yellow eyes, plump, fat, sweat on body, sweat, <lora:Concept_Plump:1>, | |
| parameters: | |
| negative_prompt: FastNegativeV2, worst quality, low quality, | |
| output: | |
| url: images/6.png | |
| base_model: stabilityai/stable-diffusion-xl-base-1.0 | |
| instance_prompt: <lora:Concept_Plump:1> | |
| license: apache-2.0 | |
| # LoRA / Concept | Chubby (Fat Rolls) | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `<lora:Concept_Plump:1>` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/Benevolent/Plumpu/tree/main) them in the Files & versions tab. | |