Text-to-Image
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StableDiffusionPipeline
open-diffusion
od-v2
openskyml
Instructions to use openskyml/open-diffusion-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openskyml/open-diffusion-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("openskyml/open-diffusion-v2", 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
Commit ·
8b10f29
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Parent(s): 1aa28a5
Upload the concept Open-Diffusion-V2 embeds and token
Browse files- OpenTrain-V2.ckpt +3 -0
- README.md +13 -0
OpenTrain-V2.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:057441483a7e5483e0cf4d701c6e1665c5ba0ca3b7d73fe95c9f70ff476ffd82
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size 2607617422
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README.md
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---
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license: creativeml-openrail-m
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tags:
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- text-to-image
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- stable-diffusion
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---
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### Open-Diffusion-V2 Dreambooth model trained by ehristoforu with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
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Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
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Sample pictures of this concept:
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