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Add Use this model snippets for top diffusers models #1642

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Merged
merged 4 commits into from
Jul 21, 2025
Merged

Add Use this model snippets for top diffusers models #1642

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0850281
Add snippets
apolinario Jul 18, 2025
cc3b861
Remove all that require extra libs
apolinario Jul 18, 2025
1fad1b7
forgot to remove hunyuan too
apolinario Jul 21, 2025
60105f5
Merge branch 'main' into fix-top-media-models
Vaibhavs10 Jul 21, 2025
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59 changes: 58 additions & 1 deletion packages/tasks/src/model-libraries-snippets.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -434,8 +434,63 @@ pipe = DiffusionPipeline.from_pretrained("${get_base_diffusers_model(model)}")
pipe.load_textual_inversion("${model.id}")`,
];

const diffusers_flux_fill = (model: ModelData) => [
`import torch
from diffusers import FluxFillPipeline
from diffusers.utils import load_image

image = load_image("https://huggingface.co/datasets/diffusers/diffusers-images-docs/resolve/main/cup.png")
mask = load_image("https://huggingface.co/datasets/diffusers/diffusers-images-docs/resolve/main/cup_mask.png")

pipe = FluxFillPipeline.from_pretrained("${model.id}", torch_dtype=torch.bfloat16).to("cuda")
image = pipe(
prompt="a white paper cup",
image=image,
mask_image=mask,
height=1632,
width=1232,
guidance_scale=30,
num_inference_steps=50,
max_sequence_length=512,
generator=torch.Generator("cpu").manual_seed(0)
).images[0]
image.save(f"flux-fill-dev.png")`,
];

const diffusers_inpainting = (model: ModelData) => [
`import torch
from diffusers import AutoPipelineForInpainting
from diffusers.utils import load_image

pipe = AutoPipelineForInpainting.from_pretrained("${model.id}", torch_dtype=torch.float16, variant="fp16").to("cuda")

img_url = "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png"
mask_url = "https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo_mask.png"
Comment on lines +467 to +468
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(nit) store on Hub maybe?


image = load_image(img_url).resize((1024, 1024))
mask_image = load_image(mask_url).resize((1024, 1024))

prompt = "a tiger sitting on a park bench"
generator = torch.Generator(device="cuda").manual_seed(0)

image = pipe(
prompt=prompt,
image=image,
mask_image=mask_image,
guidance_scale=8.0,
num_inference_steps=20, # steps between 15 and 30 work well for us
strength=0.99, # make sure to use \`strength\` below 1.0
generator=generator,
).images[0]`,
];

export const diffusers = (model: ModelData): string[] => {
if (model.tags.includes("controlnet")) {
if (
model.tags.includes("StableDiffusionInpaintPipeline") ||
model.tags.includes("StableDiffusionXLInpaintPipeline")
) {
return diffusers_inpainting(model);
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Example that doesn't need extra libraries to install

} else if (model.tags.includes("controlnet")) {
return diffusers_controlnet(model);
} else if (model.tags.includes("lora")) {
if (model.pipeline_tag === "image-to-image") {
Expand All @@ -449,6 +504,8 @@ export const diffusers = (model: ModelData): string[] => {
}
} else if (model.tags.includes("textual_inversion")) {
return diffusers_textual_inversion(model);
} else if (model.tags.includes("FluxFillPipeline")) {
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Example that doesn't need extra libraries to install

return diffusers_flux_fill(model);
} else if (model.pipeline_tag === "image-to-video") {
return diffusers_image_to_video(model);
} else if (model.pipeline_tag === "image-to-image") {
Expand Down
6 changes: 0 additions & 6 deletions packages/tasks/src/model-libraries.ts
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Expand Up @@ -465,12 +465,6 @@ export const MODEL_LIBRARIES_UI_ELEMENTS = {
repoUrl: "https://github.com/Tencent/HunyuanDiT",
countDownloads: `path:"pytorch_model_ema.pt" OR path:"pytorch_model_distill.pt"`,
},
"hunyuan3d-2": {
prettyLabel: "Hunyuan3D-2",
repoName: "Hunyuan3D-2",
repoUrl: "https://github.com/Tencent/Hunyuan3D-2",
countDownloads: `path_filename:"model_index" OR path_filename:"config"`,
},
imstoucan: {
prettyLabel: "IMS Toucan",
repoName: "IMS-Toucan",
Expand Down