feat: add P-H3-Image generation and editing support (#2272)

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leejet authored and GitHub committed 2026-11-04 23:24:51 +08:00
1 parent 984eb0686c
commit 3e92bf990a
18 files changed
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@@ -144,6 +144,34 @@ namespace sd::pipeline {
return padded;
}
static sd::Tensor<float> resize_ph3_reference(const sd::Tensor<float>& image, int64_t pixels) {
double scale = std::min(1.0, std::sqrt(static_cast<double>(pixels) / (image.shape()[0] * image.shape()[1])));
int64_t width = std::max<int64_t>(32, static_cast<int64_t>(std::nearbyint(image.shape()[0] * scale / 32)) * 32);
int64_t height = std::max<int64_t>(32, static_cast<int64_t>(std::nearbyint(image.shape()[1] * scale / 32)) * 32);
if (width == image.shape()[0] && height == image.shape()[1]) {
return image;
}
return sd::ops::interpolate(image, {width, height, image.shape()[2], image.shape()[3]}, sd::ops::InterpolateMode::Lanczos);
}
static sd::Tensor<float> pack_ph3_image_latent(const sd::Tensor<float>& image,
const sd::Tensor<float>& previous = {}) {
auto video = image.dim() == 4 ? image.unsqueeze(2) : image;
GGML_ASSERT(video.dim() == 5 && video.shape()[2] == 1 && video.shape()[3] == 24 && video.shape()[4] == 1);
const int64_t spatial = video.shape()[0] * video.shape()[1];
// The image DiT still attends to two stereo audio latents (32 channels).
auto shape = video.shape();
shape[3] += (128 + spatial - 1) / spatial;
auto packed = sd::zeros<float>(shape);
std::copy_n(video.data(), video.numel(), packed.data());
if (!previous.empty()) {
const int64_t offset = previous.shape()[0] * previous.shape()[1] * 24;
GGML_ASSERT(previous.numel() >= offset + 128);
std::copy_n(previous.data() + offset, 128, packed.data() + video.numel());
}
return packed;
}
static std::optional<ImageGenerationLatents> prepare_image_generation_latents(StableDiffusionGGML* sd,
const sd_img_gen_params_t* sd_img_gen_params,
GenerationRequest* request,
@@ -323,7 +351,10 @@ namespace sd::pipeline {
continue;
}
sd::Tensor<float> ref_latent;
if (ref_image_params.resize_before_vae && !sd_version_is_pid(sd->version)) {
if (sd->version == VERSION_P_H3_IMAGE) {
auto resized = resize_ph3_reference(ref_images[i], int64_t(request->width) * request->height);
ref_latent = sd->encode_first_stage(resized);
} else if (ref_image_params.resize_before_vae && !sd_version_is_pid(sd->version)) {
LOG_VERBOSE("auto resize ref images");
double vae_width;
double vae_height;
@@ -450,6 +481,16 @@ namespace sd::pipeline {
}
ImageGenerationLatents latents;
if (sd->version == VERSION_P_H3_IMAGE) {
init_latent = pack_ph3_image_latent(init_latent);
latent_mask = latent_mask.unsqueeze(2);
for (size_t i = 0; i < ref_latents.size(); ++i) {
latents.minimax_reference_blocks.push_back({MiniMaxH3ReferenceKind::IMAGE, static_cast<int32_t>(i), -1});
}
for (auto& image : ref_images) {
image = resize_ph3_reference(image, 1000000);
}
}
latents.init_latent = std::move(init_latent);
latents.concat_latent = std::move(concat_latent);
latents.img_uncond_concat_latent = std::move(img_uncond_concat_latent);
@@ -502,6 +543,9 @@ namespace sd::pipeline {
if (cond.c_concat.empty() && ref_image_params.pass_to_dit) {
cond.c_concat = latents->concat_latent; // TODO: optimize
}
if (sd->version == VERSION_P_H3_IMAGE && ref_image_params.pass_to_dit) {
cond.c_reference_blocks = latents->minimax_reference_blocks;
}
bool use_ref_latent_img_cfg = request->use_img_uncond &&
!latents->ref_images.empty() &&
@@ -546,6 +590,9 @@ namespace sd::pipeline {
if (uncond.c_concat.empty() && ref_image_params.pass_to_dit) {
uncond.c_concat = latents->concat_latent; // TODO: optimize
}
if (sd->version == VERSION_P_H3_IMAGE && ref_image_params.pass_to_dit) {
uncond.c_reference_blocks = latents->minimax_reference_blocks;
}
}
SDCondition img_uncond;
@@ -1047,13 +1094,19 @@ namespace sd::pipeline {
sd->rng->manual_seed(cur_seed);
sd->sampler_rng->manual_seed(cur_seed);
auto hires_source = sd->version == VERSION_P_H3_IMAGE
? sd::ops::slice(final_latents[b], 3, 0, 24)
: final_latents[b];
sd::Tensor<float> upscaled = upscale_hires_latent(sd,
final_latents[b],
hires_source,
request,
hires_upscaler.get());
if (upscaled.empty()) {
return false;
}
if (sd->version == VERSION_P_H3_IMAGE) {
upscaled = pack_ph3_image_latent(upscaled, final_latents[b]);
}
sd::Tensor<float> noise = sd::randn_like<float>(upscaled, sd->rng);