Instructions to use xinsir/controlnet-union-sdxl-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xinsir/controlnet-union-sdxl-1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xinsir/controlnet-union-sdxl-1.0", 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 Settings
- Draw Things
- DiffusionBee
Oriam Celis Gomez commited on
Update README.md
Browse files> /dream prompt anime chinese girl anime png download, transparent download image, 1girl, solo, breasts, animal ears, thighhighs, tail, blue eyes, umbrella, long hair, pink hair, hair ornament, large breasts, cleavage, japanese clothes, smile, black thighhighs, flower, fox ears, hair flower
README.md
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- Diffusers
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- Stable Diffusion
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pipeline_tag: text-to-image
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---
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# **ControlNet++: All-in-one ControlNet for image generations and editing!**
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- Diffusers
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- Stable Diffusion
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pipeline_tag: text-to-image
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datasets:
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- fka/awesome-chatgpt-prompts
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language:
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- as
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metrics:
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- character
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base_model:
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- openai/whisper-large-v3-turbo
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new_version: stabilityai/stable-diffusion-3.5-large
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library_name: asteroid
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---
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# **ControlNet++: All-in-one ControlNet for image generations and editing!**
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