Test send image from file

This commit is contained in:
Joseph Parker
2024-10-18 23:28:35 +01:00
parent bba65f4716
commit 8619a49568
+93 -2
View File
@@ -71,7 +71,98 @@ class DrawThingsTxt2Img:
images.append(tensor_image)
return (torch.stack(images),)
class DrawThingsImg2Img:
def __init__(self):
pass
NODE_CLASS_MAPPINGS = {"DrawThingsTxt2Img": DrawThingsTxt2Img}
CATEGORY = "DrawThingsWrapper"
NODE_DISPLAY_NAME_MAPPINGS = {"DrawThingsTxt2Img": "Draw Things Txt2Img"}
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"model": ("STRING", {"default": "flux_1_dev_q8p.ckpt"}),
"prompt": ("STRING", {"default": ""}),
"seed": ("INT", {"default": 42}),
"width": ("INT", {"default": 512}),
"height": ("INT", {"default": 512}),
"guidance_scale": ("FLOAT", {"default": 3.5}),
"sampler": (["UniPC","DPM++ 2M Karras","Euler Ancestral", "DPM++ SDE Karras", "PLMS", "DDIM", "LCM", "Euler A Substep", "DPM++ SDE Substep", "TCD", "DPM++ 2M Trailing", "Euler A Trailing", "DPM++ SDE Trailing", "DDIM Trailing", "DPM++ 2M AYS", "Euler A AYS", "DPM++ SDE AYS"], {"default": "Euler A Trailing"}),
"steps": ("INT", {"default": 20}),
}
}
RETURN_TYPES = ("IMAGE",)
RETURN_NAMES = ("generated_image",)
FUNCTION = "generate_image"
def generate_image(self, model, prompt, seed, width, height, guidance_scale, sampler, steps):
# Call the Draw Things API
api_url = "http://127.0.0.1:7860/sdapi/v1/img2img"
payload = {
"model": model,
"prompt": prompt,
"seed": seed,
"width": width,
"height": height,
"guidance_scale": guidance_scale,
"sampler": sampler,
"steps": steps,
}
# response = requests.post(api_url, json=payload)
#
# # Raise an error if the request failed
# response.raise_for_status()
#
# # Parse the JSON response
# data = response.json()
# print("Dia duit!")
# #print(data)
# print(type(data))
# print(type(payload))
# Path to your PNG image file
image_path = "/Users/jparker/data/sd_outputs/.people/marbro/inputs/1_512sq.JPG"
# Read the image and encode it as base64
with open(image_path, "rb") as image_file:
encoded_string = base64.b64encode(image_file.read()).decode('utf-8')
payload["init_images"] = [encoded_string]
#print(payload)
response = requests.post(api_url, json=payload)
#data = response.json()
#print(data)
# Raise an error if the request failed
response.raise_for_status()
# Parse the JSON response
data = response.json()
print(data)
# Process the images (assuming they are base64 encoded or raw binary data)
images = []
for img_data in data["images"]:
image_bytes = base64.b64decode(img_data)
# Convert the image data to a Pillow Image object
image = Image.open(io.BytesIO(image_bytes))
image_np = np.array(image)
# Convert to float32 tensor and normalize
tensor_image = torch.from_numpy(image_np.astype(np.float32) / 255.0)
images.append(tensor_image)
return (torch.stack(images),)
NODE_CLASS_MAPPINGS = {
"DrawThingsTxt2Img": DrawThingsTxt2Img,
"DrawThingsImg2Img": DrawThingsImg2Img,
}
NODE_DISPLAY_NAME_MAPPINGS = {
"DrawThingsTxt2Img": "Draw Things Txt2Img",
"DrawThingsImg2Img": "Draw Things Img2Img",
}