Instructions to use ivand-all3d/image-variation-experiments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ivand-all3d/image-variation-experiments with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ivand-all3d/image-variation-experiments", torch_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
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# Image Variations Experiments
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Check out the [blog post](todo).
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| `flux-image-variations` | A finetuned version of FLUX that accepts CLIP image embeddings |
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| `pixart-custom-redux` | A custom adapter network that lets PixArt accept SigLip image embeddings, similar to Flux Redux |
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| `pixart-flux-redux` | A finetuned version of PixArt that accepts T5 embeddings from the Flux Redux adapter network |
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datasets:
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- PixArt-alpha/SAM-LLaVA-Captions10M
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base_model:
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- black-forest-labs/FLUX.1-schnell
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- black-forest-labs/FLUX.1-Redux-dev
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- PixArt-alpha/PixArt-XL-2-512x512
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---
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# Image Variations Experiments
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Check out the [blog post](todo).
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| --------------------- | ------------------------------------------------------------------------------------------------------------- |
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| `flux-image-variations` | A finetuned version of FLUX that accepts CLIP image embeddings |
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| `pixart-custom-redux` | A custom adapter network that lets PixArt accept SigLip image embeddings, similar to Flux Redux |
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| `pixart-flux-redux` | A finetuned version of PixArt that accepts T5 embeddings from the Flux Redux adapter network |
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