Instructions to use Alissonerdx/EditAnything with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Alissonerdx/EditAnything with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-2.3", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Alissonerdx/EditAnything") 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
Update README.md
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README.md
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@@ -480,12 +480,6 @@ weakening) the distilled / acceleration LoRAs and going back to a normal
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sampler with more steps — significantly slower, but the model follows
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the prompt much more closely. Trade-off:
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| Setup | CFG | Steps | Speed | Prompt following |
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| Distilled / accel default | **1.0** | 4–8 | fast | loose |
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| Non-distilled, mild | **3–4** | 20–30 | medium | good baseline |
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| Non-distilled, aggressive | **5–7** | 25–40 | slow | strong, may saturate |
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- If the model is **ignoring the prompt** (edit isn't being applied, the
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sampler with more steps — significantly slower, but the model follows
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- If the model is **ignoring the prompt** (edit isn't being applied, the
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