ControlNet Zp11 Depth v1

--- license: openrail --- Recommended version of `diffusers` is `0.20.2` with `torch` `2`. Usage Example: ```python import torch import requests from PIL import Image from diffusers import DiffusionPipeline, EulerAncestralDiscreteScheduler, ControlNetModel # Load the pipeline pipeline = DiffusionPipeline.from_pretrained( "sudo-ai/zero123plus-v1.1", custom_pipeline="sudo-ai/zero123plus-pipeline", torch_dtype=torch.float16 ) pipeline.add_controlnet(ControlNetModel.from_pretrained( "sudo-ai/controlnet-zp11-depth-v1", torch_dtype=torch.float16 ), conditioning_scale=0.75) # Feel free to tune the scheduler pipeline.scheduler = EulerAncestralDiscreteScheduler.from_config( pipeline.scheduler.config, timestep_spacing='trailing' ) pipeline.to('cuda:0') # Run the pipeline cond = Image.open(requests.get("https://d.skis.ltd/nrp/sample-data/0_cond.png", stream=True).raw) depth = Image.open(requests.get("https://d.skis.ltd/nrp/sample-data/0_depth.png", stream=True).raw) result = pipeline(cond, depth_image=depth).images[0] result.show() result.save("output.png") ```

Source context: 12 downloads · 5 likes · Library diffusers · Repo sudo-ai/controlnet-zp11-depth-v1

Source context: 72 downloads · 5 likes · Library diffusers · Repo sudo-ai/controlnet-zp11-depth-v1