improve gif preview

This commit is contained in:
Tung Nguyen
2023-09-17 11:08:55 +07:00
parent 87815b7aae
commit 427cf04893
3 changed files with 78 additions and 65 deletions
+1 -1
View File
@@ -61,7 +61,7 @@ class MotionWrapper(nn.Module):
is_v2 = has_mid_block(mm_state_dict)
mm = cls(mm_type, encoding_max_len=encoding_max_len, is_v2=is_v2)
mm.load_state_dict(mm_state_dict)
mm.load_state_dict(mm_state_dict, strict=False)
return mm
def set_video_length(self, video_length: int):
+47 -30
View File
@@ -14,7 +14,6 @@ import comfy.ldm.modules.diffusionmodules.openaimodel as openaimodel
import comfy.model_management as model_management
from comfy.model_base import BaseModel
from comfy.ldm.modules.attention import SpatialTransformer
from comfy.cli_args import args as cli_args
from comfy.utils import load_torch_file, calculate_parameters
from nodes import KSampler
@@ -75,6 +74,8 @@ def load_motion_module(model_name: str):
if model_management.should_use_fp16(model_params=params):
logger.info(f"Converting motion module to fp16.")
motion_module.half()
offload_device = model_management.unet_offload_device()
motion_module = motion_module.to(offload_device)
motion_modules[model_hash] = motion_module
@@ -219,7 +220,7 @@ class AnimateDiffSampler(KSampler):
def override_beta_schedule(self, model: BaseModel):
logger.info(f"Override beta schedule.")
self.prev_beta = model.get_buffer("betas")
self.prev_beta = model.get_buffer("betas").cpu().clone()
self.prev_linear_start = model.linear_start
self.prev_linear_end = model.linear_end
model.register_schedule(
@@ -331,11 +332,10 @@ class AnimateDiffCombine:
{"default": 8, "min": 1, "max": 24, "step": 1},
),
"loop_count": ("INT", {"default": 0, "min": 0, "max": 100, "step": 1}),
"save_image": (["Enabled", "Disabled"],),
"filename_prefix": ("STRING", {"default": "AnimateDiff"}),
},
"optional": {
"pingpong": (["Disabled", "Enabled"],),
"save_image": ([True, False],),
"filename_prefix": ("STRING", {"default": "animate_diff"}),
"format": (["image/gif", "image/webp", "video/webm"],),
"pingpong": ([False, True],),
},
"hidden": {
"prompt": "PROMPT",
@@ -343,7 +343,7 @@ class AnimateDiffCombine:
},
}
RETURN_TYPES = ()
RETURN_TYPES = ("GIF",)
OUTPUT_NODE = True
CATEGORY = "Animate Diff"
FUNCTION = "generate_gif"
@@ -353,23 +353,24 @@ class AnimateDiffCombine:
images,
frame_rate: int,
loop_count: int,
save_image="Enabled",
save_image=True,
filename_prefix="AnimateDiff",
pingpong="Disabled",
format="image/gif",
pingpong=False,
prompt=None,
extra_pnginfo=None,
):
# convert images to numpy
pil_images: List[Image.Image] = []
frames: List[Image.Image] = []
for image in images:
img = 255.0 * image.cpu().numpy()
img = Image.fromarray(np.clip(img, 0, 255).astype(np.uint8))
pil_images.append(img)
frames.append(img)
# save image
output_dir = (
folder_paths.get_output_directory()
if save_image == "Enabled"
if save_image
else folder_paths.get_temp_directory()
)
(
@@ -390,38 +391,54 @@ class AnimateDiffCombine:
# save first frame as png to keep metadata
file = f"{filename}_{counter:05}_.png"
file_path = os.path.join(full_output_folder, file)
pil_images[0].save(
frames[0].save(
file_path,
pnginfo=metadata,
compress_level=4,
)
# make revert gif
if pingpong == "Enabled":
pil_images = pil_images + pil_images[-2:0:-1]
if pingpong:
frames = frames + frames[-2:0:-1]
# save gif
file = f"{filename}_{counter:05}_.gif"
format_type, format_ext = format.split("/")
file = f"{filename}_{counter:05}_.{format_ext}"
file_path = os.path.join(full_output_folder, file)
pil_images[0].save(
file_path,
save_all=True,
append_images=pil_images[1:],
duration=round(1000 / frame_rate),
loop=loop_count,
compress_level=4,
)
print("Saved gif to", file_path, os.path.exists(file_path))
if format_type == "image":
frames[0].save(
file_path,
format=format_ext.upper(),
save_all=True,
append_images=frames[1:],
duration=round(1000 / frame_rate),
loop=loop_count,
compress_level=4,
)
else:
# save webm
import shutil
import subprocess
ffmpeg_path = shutil.which("ffmpeg")
if ffmpeg_path is None:
raise ProcessLookupError("Could not find ffmpeg")
dimensions = f"{frames[0].width}x{frames[0].height}"
args = [ffmpeg_path, "-v", "panic", "-n", "-f", "rawvideo", "-pix_fmt", "rgb24", "-s",
dimensions, "-r", str(frame_rate), "-i", "-", "-pix_fmt", "yuv420p", file_path]
with subprocess.Popen(args, stdin=subprocess.PIPE) as proc:
for frame in frames:
proc.stdin.write(frame.tobytes())
previews = [
{
"filename": file,
"subfolder": subfolder,
"type": "output" if save_image == "Enabled" else "temp",
"type": "output" if save_image else "temp",
"format": format,
}
]
return {"ui": {"gif": previews}}
return {"ui": {"gifs": previews}}
NODE_CLASS_MAPPINGS = {
+30 -34
View File
@@ -1,5 +1,3 @@
// From https://github.com/kijai/ComfyUI-AnimateDiff-Evolved
import { app } from '../../../scripts/app.js'
import { api } from '../../../scripts/api.js'
@@ -19,16 +17,16 @@ function offsetDOMWidget(
elRect.height / ctx.canvas.height
)
.multiplySelf(ctx.getTransform())
.translateSelf(margin, margin + widgetY)
.translateSelf(0, widgetY + margin)
const scale = new DOMMatrix().scaleSelf(transform.a, transform.d)
Object.assign(widget.inputEl.style, {
transformOrigin: '0 0',
transform: scale,
left: `${transform.a + transform.e}px`,
left: `${transform.e}px`,
top: `${transform.d + transform.f}px`,
width: `${widgetWidth - margin * 2}px`,
height: `${(height || widget.parent?.inputHeight || 32) - margin * 2}px`,
width: `${widgetWidth}px`,
height: `${(height || widget.parent?.inputHeight || 32) - margin}px`,
position: 'absolute',
background: !node.color ? '' : node.color,
color: !node.color ? '' : 'white',
@@ -60,21 +58,21 @@ export const cleanupNode = (node) => {
}
}
const DEBUG_IMG = (name, val) => {
const CreatePreviewElement = (name, val, format) => {
const [type] = format.split('/')
const w = {
name,
type: 'image',
type,
value: val,
draw: function (ctx, node, widgetWidth, widgetY, height) {
const [cw, ch] = this.computeSize(widgetWidth)
offsetDOMWidget(this, ctx, node, widgetWidth, widgetY, ch)
},
computeSize: function (width) {
computeSize: function (_) {
const ratio = this.inputRatio || 1
if (width) {
return [width, width / ratio + 4]
}
return [128, 128]
const width = Math.max(220, this.parent.size[0])
return [width, (width / ratio + 10)]
},
onRemoved: function () {
if (this.inputEl) {
@@ -83,8 +81,14 @@ const DEBUG_IMG = (name, val) => {
},
}
w.inputEl = document.createElement('img')
w.inputEl = document.createElement(type === 'video' ? 'video' : 'img')
w.inputEl.src = w.value
if (type === 'video') {
w.inputEl.setAttribute('type', 'video/webm');
w.inputEl.autoplay = true
w.inputEl.loop = true
w.inputEl.controls = false;
}
w.inputEl.onload = function () {
w.inputRatio = w.inputEl.naturalWidth / w.inputEl.naturalHeight
}
@@ -93,13 +97,13 @@ const DEBUG_IMG = (name, val) => {
}
const gif_preview = {
name: 'ad_gif_preview',
name: 'AnimateDiff.gif_preview',
async beforeRegisterNodeDef(nodeType, nodeData, app) {
switch (nodeData.name) {
case 'AnimateDiffCombine': {
const onExecuted = nodeType.prototype.onExecuted
nodeType.prototype.onExecuted = function (message) {
const prefix = 'anything_'
const prefix = 'ad_gif_preview_'
const r = onExecuted ? onExecuted.apply(this, message) : undefined
if (this.widgets) {
@@ -110,37 +114,29 @@ const gif_preview = {
}
this.widgets.length = pos
}
let imgURLs = []
if (message) {
if (message.gif) {
console.log("found gif")
imgURLs = imgURLs.concat(
message.gif.map((params) => {
return api.apiURL(
'/view?' + new URLSearchParams(params).toString()
)
})
if (message?.gifs) {
message.gifs.forEach((params, i) => {
const previewUrl = api.apiURL(
'/view?' + new URLSearchParams(params).toString()
)
}
let i = 0
for (const img of imgURLs) {
const w = this.addCustomWidget(
DEBUG_IMG(`${prefix}_${i}`, img)
CreatePreviewElement(`${prefix}_${i}`, previewUrl, params.format || 'image/gif')
)
w.parent = this
i++
}
})
}
const onRemoved = this.onRemoved
this.onRemoved = () => {
cleanupNode(this)
return onRemoved?.()
}
}
// keep width and update height
this.setSize([this.size[0], this.computeSize([this.size[0], this.size[1]])[1]])
return r
}
break
}
}