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Add `clip_sample=False` to scheduler to make model compatible with DDIM.
Hey dallinmackay 👋, Your model repository seems to contain a stable diffusion checkpoint. We have noticed that your scheduler config currently does not correctly work with the [DDIMScheduler](https://huggingface.co/docs/diffusers/main/en/api/schedulers#diffusers.DDIMScheduler) because `clip_sample` is not set to False and will therefore [incorrectly default to True](https://github.com/huggingface/diffusers/blob/3ce6380d3a2ec5c3e3f4f48889d380d657b151bc/src/diffusers/schedulers/scheduling_ddim.py#L127). The official stable diffusion checkpoints have `clip_sample=False` so that the scheduler config works will **all** schedulers, see: https://huggingface.co/stabilityai/stable-diffusion-2-1-base/blob/main/scheduler/scheduler_config.json#L7. We strongly recommend that you merge this PR to make sure your model works correctly with DDIM. Diffusingly, Patrick.7c8d0fa
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Diffusers (#5)
- Add Diffusers weights for -Legacy-Style-trnlgcy.ckpt (1f3ce740b0d64050207e5f1d8de5ffc6c1c95001)4bd7e1b -
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Create model_index.json (#4)
- Create model_index.json (b7ca01d5a1bb4036b7456a2db0aec7040a63e511) Co-authored-by: Muhammad Ahmed <ahmedghani@users.noreply.huggingface.co>e48bf23
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Upload Tron-Legacy-Style-trnlgcy.ckpt
"trnlgcy" is the instance name used to summon the trained style. E.g., "actor in the style of trnlgcy"8557b34 -
initial commit
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