Instructions to use brushpenbob/transparent-2-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use brushpenbob/transparent-2-0 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("brushpenbob/transparent-2-0") prompt = " " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
transparent 2.0

- Prompt

- Prompt

- Prompt
Model description
Somewhat of a remake of my original transparent model, this one's focused on skeletons. I haven't added any additional things to the dataset like vehicles or environments as again this is focused on people.
Trigger words
You should use Skeleton_style, Skeleton to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('brushpenbob/transparent-2-0', weight_name='transparent_2.0.safetensors')
image = pipeline('`Skeleton_style`, `Skeleton`').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for brushpenbob/transparent-2-0
Base model
runwayml/stable-diffusion-v1-5