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Update app.py
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app.py
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@@ -10,9 +10,10 @@ from io import BytesIO
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class Prodia:
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def __init__(self, api_key, base=None):
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self.base = base or "https://api.prodia.com/
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self.headers = {
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"X-Prodia-Key": api_key
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}
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def generate(self, params):
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@@ -40,6 +41,12 @@ class Prodia:
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response = self._get(f"{self.base}/sdxl/samplers")
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return response.json()
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def _post(self, url, params):
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headers = {
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**self.headers,
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@@ -60,6 +67,8 @@ class Prodia:
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return response
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def image_to_base64(image_path):
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# Open the image with PIL
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@@ -78,16 +87,24 @@ def image_to_base64(image_path):
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prodia_client = Prodia(api_key=os.getenv("PRODIA_API_KEY"))
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def flip_text(prompt, negative_prompt, model, steps, sampler, cfg_scale, width, height, seed):
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"prompt": prompt,
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"negative_prompt": negative_prompt,
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"model": model,
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"steps": steps,
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"sampler": sampler,
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"cfg_scale": cfg_scale,
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"width": width,
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"height": height,
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"seed": seed
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})
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job = prodia_client.wait(result)
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class Prodia:
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def __init__(self, api_key, base=None):
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self.base = base or "https://api.prodia.com/v2"
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self.headers = {
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"X-Prodia-Key": api_key
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"Authorization": f"Bearer {os.getenv("API_KEY")}"
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}
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def generate(self, params):
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response = self._get(f"{self.base}/sdxl/samplers")
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return response.json()
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def generate_v2(self, config):
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response = self._post("https://inference.prodia.com/v2/job", {"type": "v2.job.sdxl.txt2img", "config": config})
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return Image.open(BytesIO(r.content)).convert("RGBA")
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def _post(self, url, params):
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headers = {
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**self.headers,
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return response
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def image_to_base64(image_path):
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# Open the image with PIL
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prodia_client = Prodia(api_key=os.getenv("PRODIA_API_KEY"))
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def flip_text(prompt, negative_prompt, model, steps, sampler, cfg_scale, width, height, seed):
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config_without_model_and_sampler = {
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"prompt": prompt,
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"negative_prompt": negative_prompt,
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"steps": steps,
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"cfg_scale": cfg_scale,
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"width": width,
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"height": height,
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"seed": seed
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}
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if model == "sd_xl_base_1.0.safetensors [be9edd61]":
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return prodia_client.generate_v2(config_without_model_and_sampler)
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result = prodia_client.generate({
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**config_without_model_and_sampler
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"model": model,
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"sampler": sampler
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})
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job = prodia_client.wait(result)
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