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Improve prompting for diffusers default snippets #909

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Merged
merged 14 commits into from
Sep 19, 2024
Merged

Improve prompting for diffusers default snippets #909

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66535f5
Improve prompting for diffusers default snippets
apolinario Sep 18, 2024
324e720
add props to `ModelData`
Sep 18, 2024
2e5caaf
Apply review comments
Sep 18, 2024
00f6607
follow internal variable naming convention
Sep 18, 2024
6d5adce
Update packages/tasks/src/model-libraries-snippets.ts
apolinario Sep 18, 2024
9bf0cf3
escape quotes
Sep 18, 2024
7dba714
Merge branch 'diffusers-prompting-improvements' of https://github.com…
Sep 18, 2024
96250ca
Update packages/tasks/src/model-libraries-snippets.ts
apolinario Sep 19, 2024
15983c5
Update packages/tasks/src/model-libraries-snippets.ts
apolinario Sep 19, 2024
f720313
Update packages/tasks/src/model-libraries-snippets.ts
apolinario Sep 19, 2024
28d79d3
Update packages/tasks/src/model-libraries-snippets.ts
apolinario Sep 19, 2024
0fbfd58
Merge branch 'main' into diffusers-prompting-improvements
Vaibhavs10 Sep 19, 2024
04a8669
format
mishig25 Sep 19, 2024
b7269c5
rn to `escapeStringForJson`
mishig25 Sep 19, 2024
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10 changes: 8 additions & 2 deletions packages/tasks/src/model-libraries-snippets.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -70,6 +70,12 @@ function get_base_diffusers_model(model: ModelData): string {
return model.cardData?.base_model?.toString() ?? "fill-in-base-model";
}

function get_prompt_from_diffusers_model(model: ModelData): string {
return model.cardData?.widget?.[0]?.text?.toString()
?? model.cardData?.instance_prompt?.toString()
?? "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k";
}

export const bertopic = (model: ModelData): string[] => [
`from bertopic import BERTopic

Expand Down Expand Up @@ -134,7 +140,7 @@ const diffusers_default = (model: ModelData) => [

pipe = DiffusionPipeline.from_pretrained("${model.id}")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
prompt = "${get_prompt_from_diffusers_model(model)}"
image = pipe(prompt).images[0]`,
];

Expand All @@ -153,7 +159,7 @@ const diffusers_lora = (model: ModelData) => [
pipe = DiffusionPipeline.from_pretrained("${get_base_diffusers_model(model)}")
pipe.load_lora_weights("${model.id}")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
prompt = "${get_prompt_from_diffusers_model(model)}"
image = pipe(prompt).images[0]`,
];

Expand Down
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