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@mishig25
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🔥

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@Wauplin Wauplin left a comment

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(expect style linting)

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the failing tests are unrelated to this pr

@Vaibhavs10
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Will wait for @sayakpaul or @apolinario to approve before merging!

Thanks @mishig25 for fixing the lint issues 🐐

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Looks good!

pipe = DiffusionPipeline.from_pretrained("${model.id}")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]`,
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Nit: as discussed in Slack, having a prompt might be a bit confusing due to many models expecting certain tokens. In any case, this is fine I think to showcase usage

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For LoRA models would it make sense to read the examples from the README? or is that an overkill?

ref: https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-AntiBlur/blob/main/README.md?code=true#L12

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Well constructed LoRA models have an instance_prompt variable which could be used in the example prompt, but I like the idea of taking the first gallery prompt if existing. IMO not overkill and would make the UX great https://huggingface.co/multimodalart/vintage-ads-flux/blob/main/README.md?code=true#L9

Otherwise lgtm

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Will follow up w/ showing Gallery prompts in a subsequent PR. Thanks for the reviews everyone!

@Vaibhavs10 Vaibhavs10 merged commit bbe2ae8 into main Sep 18, 2024
3 of 5 checks passed
@Vaibhavs10 Vaibhavs10 deleted the vb/fix-diffusers-snippet branch September 18, 2024 08:41
apolinario added a commit that referenced this pull request Sep 18, 2024
Addressing comments left on #907, specially for LoRAs
mishig25 added a commit that referenced this pull request Sep 19, 2024
Addressing comments left on #907, specially for LoRAs

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Co-authored-by: multimodalart <[email protected]>
Co-authored-by: Mishig <[email protected]>
Co-authored-by: vb <[email protected]>
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10 participants