Text-to-Image
Diffusers
Safetensors
English
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-xl
Instructions to use neta-art/neta-xl-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use neta-art/neta-xl-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("neta-art/neta-xl-2.0", 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
Update README.md
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by Eugeoter - opened
README.md
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license: other
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license_name: faipl-1.0-sd
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license_link: https://freedevproject.org/faipl-1.0-sd/
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---
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See https://nieta-art.feishu.cn/wiki/PpwqwVDzjiNE5kkUhRtcEsn6nmh
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license: other
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license_name: faipl-1.0-sd
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license_link: https://freedevproject.org/faipl-1.0-sd/
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language:
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- en
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tags:
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- safetensors
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- diffusers
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- text-to-image
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- stable-diffusion
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- stable-diffusion-xl
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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pipeline_tag: text-to-image
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library_name: diffusers
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---
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See https://nieta-art.feishu.cn/wiki/PpwqwVDzjiNE5kkUhRtcEsn6nmh
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