Instructions to use tensorart/SD3.5M-Controlnet-Depth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tensorart/SD3.5M-Controlnet-Depth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tensorart/SD3.5M-Controlnet-Depth", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| license: other | |
| license_name: stabilityai-ai-community | |
| license_link: LICENSE.md | |
| language: | |
| - en | |
| base_model: | |
| - stabilityai/stable-diffusion-3.5-medium | |
| pipeline_tag: text-to-image | |
| <div align="center"> | |
| **TensorArt Stable Diffusion 3.5 Medium ControlNet Depth** | |
| <img src="./asset/demo.png"/> | |
| </div> | |
| # With SD3.5M | |
| ```python | |
| import torch | |
| from diffusers import StableDiffusion3ControlNetPipeline | |
| from diffusers import SD3ControlNetModel | |
| from diffusers.utils import load_image | |
| controlnet = SD3ControlNetModel.from_pretrained("tensorart/SD3.5M-Controlnet-Depth") | |
| pipe = StableDiffusion3ControlNetPipeline.from_pretrained( | |
| "stabilityai/stable-diffusion-3.5-medium", | |
| controlnet=controlnet | |
| ) | |
| pipe.to("cuda", torch.float16) | |
| control_image = load_image("https://huggingface.co/tensorart/SD3.5M-Controlnet-Depth/resolve/main/asset/depth.png") | |
| prompt = "A cyberpunk man" | |
| negative_prompt = "low quality, worst quality, deformed, distorted, disfigured, motion smear, motion artifacts, fused fingers, bad anatomy, weird hand, ugly, monochrome" | |
| image = pipe( | |
| prompt, | |
| num_inference_steps=30, | |
| negative_prompt=negative_prompt, | |
| control_image=control_image, | |
| guidance_scale=4.5, | |
| ).images[0] | |
| image.save('image.jpg') | |
| ``` | |
| # With TensorArt's SD3.5M Turbo | |
| ```python | |
| import torch | |
| from diffusers import StableDiffusion3ControlNetPipeline | |
| from diffusers import SD3ControlNetModel | |
| from diffusers.utils import load_image | |
| controlnet = SD3ControlNetModel.from_pretrained("tensorart/SD3.5M-Controlnet-Depth") | |
| pipe = StableDiffusion3ControlNetPipeline.from_pretrained( | |
| "tensorart/stable-diffusion-3.5-medium-turbo", | |
| controlnet=controlnet | |
| ) | |
| pipe.to("cuda", torch.float16) | |
| control_image = load_image("https://huggingface.co/tensorart/SD3.5M-Controlnet-Depth/resolve/main/asset/depth.png") | |
| prompt = "A cyberpunk man" | |
| negative_prompt = "low quality, worst quality, deformed, distorted, disfigured, motion smear, motion artifacts, fused fingers, bad anatomy, weird hand, ugly, monochrome" | |
| image = pipe( | |
| prompt, | |
| num_inference_steps=8, | |
| negative_prompt=negative_prompt, | |
| control_image=control_image, | |
| guidance_scale=1.5 | |
| ).images[0] | |
| image.save('image.jpg') | |
| ``` | |
| ## Contact | |
| * Website: https://tensor.art https://tusiart.com | |
| * Developed by: TensorArt | |