add: FluxPro11Ultra and update INPUT_TYPES
This commit is contained in:
Çağan Kiraz
+68
-27
@@ -54,15 +54,21 @@ class BaseFlux:
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FUNCTION = "generate_image"
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CATEGORY = "BFL"
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def process_result(self, result):
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def process_result(self, result, output_format="jpeg"):
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try:
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sample_url = result['result']['sample']
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img_response = requests.get(sample_url)
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img = Image.open(io.BytesIO(img_response.content))
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img_array = np.array(img).astype(np.float32) / 255.0
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img_tensor = torch.from_numpy(img_array)[None,]
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img.show()
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return (img_tensor,)
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with io.BytesIO() as output:
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img.save(output, format=output_format.upper())
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output.seek(0)
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img_converted = Image.open(output)
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img_array = np.array(img_converted).astype(np.float32) / 255.0
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img_tensor = torch.from_numpy(img_array)[None,]
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img_converted.show()
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return (img_tensor,)
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except KeyError as e:
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print(f"KeyError: Missing expected key {e}")
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return self.create_blank_image()
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@@ -91,7 +97,7 @@ class BaseFlux:
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print(f"Error initiating request: {response.status_code}, {response.text}")
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return None
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def get_result(self, task_id, attempt=1, max_attempts=10):
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def get_result(self, task_id, output_format="jpeg", attempt=1, max_attempts=10):
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if attempt > max_attempts:
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print(f"Max attempts reached for task_id {task_id}. Image not ready.")
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return self.create_blank_image()
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@@ -105,11 +111,11 @@ class BaseFlux:
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result = result_response.json()
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status = result.get("status")
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if Status(status) == Status.READY:
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return self.process_result(result)
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return self.process_result(result, output_format=output_format)
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elif Status(status) == Status.PENDING:
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print(f"Attempt {attempt}: Image not ready, status is '{status}'. Retrying in 5 seconds...")
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time.sleep(5)
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return self.get_result(task_id, attempt + 1, max_attempts)
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return self.get_result(task_id, output_format, attempt + 1, max_attempts)
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else:
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print(f"Error: Unexpected status '{status}'")
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return self.create_blank_image()
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@@ -122,13 +128,14 @@ class BaseFlux:
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return self.create_blank_image()
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def generate_image(self, url_path, arguments):
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self.check_multiple_of_32(arguments["width"], arguments["height"])
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if "width" in arguments and "height" in arguments:
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self.check_multiple_of_32(arguments["width"], arguments["height"])
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try:
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task_id = self.post_request(url_path, arguments)
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if task_id:
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print(f"Task ID '{task_id}'")
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return self.get_result(task_id)
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return self.get_result(task_id, output_format=arguments.get("output_format", "jpeg"))
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return self.create_blank_image()
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except Exception as e:
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print(f"Error generating image: {str(e)}")
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@@ -143,23 +150,23 @@ class FluxPro11(BaseFlux):
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"prompt": ("STRING", {"default": "", "multiline": True}),
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"width": ("INT", {"default": 1440, "min": 256, "max": 1440}),
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"height": ("INT", {"default": 1440, "min": 256, "max": 1440}),
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"prompt_upsampling": ("BOOLEAN", {"default": True}),
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"steps": ("INT", {"default": 2, "min": 1, "max": 100}),
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"safety_tolerance": (["1", "2", "3", "4", "5", "6"], {"default": "2"}),
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"prompt_upsampling": ("BOOLEAN", {"default": False}),
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"safety_tolerance": ("INT", {"default": 2, "min": 1, "max": 6}),
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"output_format": (["jpeg", "png"], {"default": "jpeg"})
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},
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"optional": {
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"seed": ("INT", {"default": -1})
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}
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}
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def generate_image(self, prompt, width, height, prompt_upsampling, steps, safety_tolerance, seed=-1):
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def generate_image(self, prompt, width, height, prompt_upsampling, safety_tolerance, output_format="jpeg", seed=-1):
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arguments = {
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"prompt": prompt,
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"width": width,
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"height": height,
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"prompt_upsampling": prompt_upsampling,
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"steps": steps,
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"safety_tolerance": safety_tolerance
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"safety_tolerance": safety_tolerance,
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"output_format": output_format
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}
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if seed != -1:
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arguments["seed"] = seed
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@@ -174,17 +181,18 @@ class FluxDev(BaseFlux):
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"prompt": ("STRING", {"default": "", "multiline": True}),
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"width": ("INT", {"default": 1024, "min": 256, "max": 1440}),
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"height": ("INT", {"default": 768, "min": 256, "max": 1440}),
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"steps": ("INT", {"default": 28, "min": 1, "max": 100}),
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"steps": ("INT", {"default": 28, "min": 1, "max": 50}),
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"prompt_upsampling": ("BOOLEAN", {"default": False}),
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"safety_tolerance": (["1", "2", "3", "4", "5", "6"], {"default": "2"}),
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"guidance": ("INT", {"default": 3, "min": 1, "max": 10}),
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"safety_tolerance": ("INT", {"default": 2, "min": 1, "max": 6}),
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"guidance": ("FLOAT", {"default": 3, "min": 1.5, "max": 5}),
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"output_format": (["jpeg", "png"], {"default": "jpeg"})
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},
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"optional": {
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"seed": ("INT", {"default": 42})
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}
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}
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def generate_image(self, prompt, width, height, steps, prompt_upsampling, safety_tolerance, guidance, seed=42):
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def generate_image(self, prompt, width, height, steps, prompt_upsampling, safety_tolerance, guidance, output_format="jpeg", seed=42):
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arguments = {
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"prompt": prompt,
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"width": width,
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@@ -193,6 +201,7 @@ class FluxDev(BaseFlux):
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"prompt_upsampling": prompt_upsampling,
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"safety_tolerance": safety_tolerance,
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"guidance": guidance,
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"output_format": output_format,
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"seed": seed
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}
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return super().generate_image("flux-dev", arguments)
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@@ -206,18 +215,19 @@ class FluxPro(BaseFlux):
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"prompt": ("STRING", {"default": "", "multiline": True}),
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"width": ("INT", {"default": 1024, "min": 256, "max": 1440}),
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"height": ("INT", {"default": 768, "min": 256, "max": 1440}),
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"steps": ("INT", {"default": 40, "min": 1, "max": 100}),
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"steps": ("INT", {"default": 40, "min": 1, "max": 50}),
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"prompt_upsampling": ("BOOLEAN", {"default": False}),
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"safety_tolerance": (["1", "2", "3", "4", "5", "6"], {"default": "2"}),
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"guidance": ("FLOAT", {"default": 2.5, "min": 0.1, "max": 10}),
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"interval": ("INT", {"default": 2}),
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"safety_tolerance": ("INT", {"default": 2, "min": 1, "max": 6}),
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"guidance": ("FLOAT", {"default": 2.5, "min": 1.5, "max": 5}),
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"interval": ("INT", {"default": 2, "min": 1, "max": 4}),
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"output_format": (["jpeg", "png"], {"default": "jpeg"})
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},
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"optional": {
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"seed": ("INT", {"default": 42})
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}
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}
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def generate_image(self, prompt, width, height, steps, prompt_upsampling, safety_tolerance, guidance, interval, seed=42):
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def generate_image(self, prompt, width, height, steps, prompt_upsampling, safety_tolerance, guidance, interval, output_format="jpeg", seed=42):
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arguments = {
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"prompt": prompt,
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"width": width,
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@@ -227,19 +237,50 @@ class FluxPro(BaseFlux):
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"safety_tolerance": safety_tolerance,
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"guidance": guidance,
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"interval": interval,
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"output_format": output_format,
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"seed": seed
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}
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return super().generate_image("flux-pro", arguments)
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class FluxPro11Ultra(BaseFlux):
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"prompt": ("STRING", {"default": "", "multiline": True}),
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"aspect_ratio": (["16:9", "4:3", "1:1"], {"default": "16:9"}),
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"safety_tolerance": ("INT", {"default": 2, "min": 1, "max": 6}),
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"output_format": (["jpeg", "png"], {"default": "jpeg"}),
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"raw": ("BOOLEAN", {"default": False})
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},
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"optional": {
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"seed": ("INT", {"default": 42})
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}
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}
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def generate_image(self, prompt, aspect_ratio, safety_tolerance, output_format="jpeg", raw=False, seed=42):
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arguments = {
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"prompt": prompt,
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"seed": seed,
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"aspect_ratio": aspect_ratio,
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"safety_tolerance": safety_tolerance,
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"output_format": output_format,
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"raw": raw
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}
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return super().generate_image("flux-pro-1.1-ultra", arguments)
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NODE_CLASS_MAPPINGS = {
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"FluxPro11_BFL": FluxPro11,
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"FluxDev_BFL": FluxDev,
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"FluxPro_BFL": FluxPro
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"FluxPro_BFL": FluxPro,
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"FluxPro11Ultra_BFL": FluxPro11Ultra
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"FluxPro11_BFL": "Flux Pro 1.1 (BFL)",
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"FluxDev_BFL": "Flux Dev (BFL)",
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"FluxPro_BFL": "Flux Pro (BFL)"
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"FluxPro_BFL": "Flux Pro (BFL)",
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"FluxPro11Ultra_BFL": "Flux Pro 1.1 Ultra (BFL)"
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}
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