Instructions to use sanaka87/3DIS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sanaka87/3DIS with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sanaka87/3DIS", 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
Add `library_name: diffusers` to model card metadata
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by nielsr HF Staff - opened
README.md
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license: afl-3.0
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language:
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base_model:
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- black-forest-labs/FLUX.1-dev
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- stabilityai/stable-diffusion-xl-base-1.0
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- stable-diffusion-v1-5/stable-diffusion-v1-5
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pipeline_tag: text-to-image
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tags:
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- art
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- image
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# News
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### Our work is accepted by ICLR 2025 (Spotlight) !
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base_model:
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- black-forest-labs/FLUX.1-dev
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- stabilityai/stable-diffusion-xl-base-1.0
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- stable-diffusion-v1-5/stable-diffusion-v1-5
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language:
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- en
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license: afl-3.0
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pipeline_tag: text-to-image
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tags:
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- art
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- image
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library_name: diffusers
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---
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# News
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### Our work is accepted by ICLR 2025 (Spotlight) !
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