jerrrycans commited on
Commit
04189b8
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1 Parent(s): 1843a3d

Update app.py

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Files changed (1) hide show
  1. app.py +15 -22
app.py CHANGED
@@ -53,15 +53,15 @@ STYLES = {
53
  'prompt': 'fix the jpeg compression',
54
  'lora_url': 'https://huggingface.co/fofr/flux-kontext-dev-jpeg-compression-fix-lora/resolve/main/flux-kontext-dev-jpeg-compression-fix-lora.safetensors'
55
  },
56
- 'gfx': {
57
  'prompt': 'render this image into a gfx image, fill in the background perfect and edit the image to look like awesome graphic gfx image',
58
  'lora_url': 'https://huggingface.co/jerrrycans/gfx/resolve/main/flux-kontext-gfx-lora.safetensors'
59
  },
60
- 'watermarkremover': {
61
  'prompt': 'remove all the watermarks from this image, all watermarks that are over this image',
62
  'lora_url': 'https://huggingface.co/jerrrycans/watermark20000/resolve/main/flux-kontext-watermark20000-lora.safetensors'
63
  },
64
- 'gfxultra': {
65
  'prompt': 'render this image into a gfx image, fill in the background perfect and edit the image to look like awesome graphic gfx image',
66
  'lora_url': 'https://huggingface.co/jerrrycans/gfx20000/resolve/main/flux-kontext-gfx20000-lora.safetensors'
67
  },
@@ -86,11 +86,9 @@ STYLES = {
86
  def upload_base64_image(base64_data):
87
  """Upload base64 image to jerrrycans-file.hf.space"""
88
  try:
89
- # Convert base64 to bytes
90
  header, data = base64_data.split(',', 1)
91
  image_data = base64.b64decode(data)
92
 
93
- # Upload to jerrrycans
94
  files = {'file': ('generated_image.png', io.BytesIO(image_data), 'image/png')}
95
  headers = {
96
  'Origin': 'https://jerrrycans-file.hf.space',
@@ -108,19 +106,20 @@ def upload_base64_image(base64_data):
108
  print(f"Upload error: {e}")
109
  return None
110
 
111
- def get_style_config(style, custom_lora_url=None):
112
- """Get style configuration"""
113
  style_config = STYLES.get(style.lower())
114
 
115
  if style_config:
 
116
  return {
117
- 'prompt': style_config['prompt'],
118
  'lora_url': custom_lora_url or style_config['lora_url']
119
  }
120
  else:
121
- # Custom prompt
122
  return {
123
- 'prompt': style,
124
  'lora_url': custom_lora_url
125
  }
126
 
@@ -133,7 +132,7 @@ def process_stream_response(response):
133
  if chunk:
134
  buffer += chunk
135
  lines = buffer.split('\n')
136
- buffer = lines.pop() # Keep incomplete line in buffer
137
 
138
  for line in lines:
139
  if line.startswith('data: ') and len(line) > 6:
@@ -144,7 +143,6 @@ def process_stream_response(response):
144
 
145
  data = json.loads(data_content)
146
 
147
- # Check for progress or completed data with images
148
  if (data.get('json', {}).get('type') in ['progress', 'completed'] and
149
  data.get('json', {}).get('data', {}).get('images')):
150
 
@@ -161,32 +159,27 @@ def process_stream_response(response):
161
  @app.route('/api/transform', methods=['POST'])
162
  def transform_image():
163
  try:
164
- # Get JSON data from request
165
  data = request.get_json()
166
 
167
  if not data:
168
  return jsonify({'success': False, 'error': 'No JSON data provided'}), 400
169
 
170
- # Extract required fields
171
  image_url = data.get('image_url')
172
  style = data.get('style')
 
173
  custom_lora_url = data.get('lora_url')
174
 
175
- # Validate required fields
176
  if not image_url:
177
  return jsonify({'success': False, 'error': 'image_url is required'}), 400
178
 
179
  if not style:
180
  return jsonify({'success': False, 'error': 'style is required'}), 400
181
 
182
- # Validate image URL
183
  if not image_url.startswith(('http://', 'https://')):
184
  return jsonify({'success': False, 'error': 'Invalid image URL'}), 400
185
 
186
- # Get style configuration
187
- style_config = get_style_config(style, custom_lora_url)
188
 
189
- # Prepare generation parameters
190
  generate_params = {
191
  'json': {
192
  'imageUrl': image_url,
@@ -197,20 +190,19 @@ def transform_image():
197
  if style_config['lora_url']:
198
  generate_params['json']['loraUrl'] = style_config['lora_url']
199
 
200
- # Make request to FAL API
201
  generate_url = f"https://fal-kontext-demo.vercel.app/api/trpc/generateImageStream?input={requests.utils.quote(json.dumps(generate_params))}"
202
 
203
  response = requests.get(generate_url, stream=True)
204
  if response.status_code != 200:
205
  return jsonify({'success': False, 'error': 'Failed to generate styled image'}), 500
206
 
207
- # Process streaming response
208
  uploaded_images = process_stream_response(response)
209
 
210
  return jsonify({
211
  'success': True,
212
  'originalImage': image_url,
213
  'style': style,
 
214
  'generatedImages': uploaded_images,
215
  'count': len(uploaded_images)
216
  })
@@ -222,7 +214,8 @@ def transform_image():
222
  def index():
223
  return jsonify({
224
  'message': 'Image Style Transfer API',
225
- 'usage': 'POST /api/transform with JSON body: {"image_url": "...", "style": "...", "lora_url": "..."}',
 
226
  'styles': list(STYLES.keys())
227
  })
228
 
 
53
  'prompt': 'fix the jpeg compression',
54
  'lora_url': 'https://huggingface.co/fofr/flux-kontext-dev-jpeg-compression-fix-lora/resolve/main/flux-kontext-dev-jpeg-compression-fix-lora.safetensors'
55
  },
56
+ 'gfx': {
57
  'prompt': 'render this image into a gfx image, fill in the background perfect and edit the image to look like awesome graphic gfx image',
58
  'lora_url': 'https://huggingface.co/jerrrycans/gfx/resolve/main/flux-kontext-gfx-lora.safetensors'
59
  },
60
+ 'watermarkremover': {
61
  'prompt': 'remove all the watermarks from this image, all watermarks that are over this image',
62
  'lora_url': 'https://huggingface.co/jerrrycans/watermark20000/resolve/main/flux-kontext-watermark20000-lora.safetensors'
63
  },
64
+ 'gfxultra': {
65
  'prompt': 'render this image into a gfx image, fill in the background perfect and edit the image to look like awesome graphic gfx image',
66
  'lora_url': 'https://huggingface.co/jerrrycans/gfx20000/resolve/main/flux-kontext-gfx20000-lora.safetensors'
67
  },
 
86
  def upload_base64_image(base64_data):
87
  """Upload base64 image to jerrrycans-file.hf.space"""
88
  try:
 
89
  header, data = base64_data.split(',', 1)
90
  image_data = base64.b64decode(data)
91
 
 
92
  files = {'file': ('generated_image.png', io.BytesIO(image_data), 'image/png')}
93
  headers = {
94
  'Origin': 'https://jerrrycans-file.hf.space',
 
106
  print(f"Upload error: {e}")
107
  return None
108
 
109
+ def get_style_config(style, custom_prompt=None, custom_lora_url=None):
110
+ """Get style configuration, allowing custom prompt to override style prompt."""
111
  style_config = STYLES.get(style.lower())
112
 
113
  if style_config:
114
+ # Style found: use its LoRA, but allow prompt to be overridden
115
  return {
116
+ 'prompt': custom_prompt or style_config['prompt'],
117
  'lora_url': custom_lora_url or style_config['lora_url']
118
  }
119
  else:
120
+ # No style found: treat 'style' as the prompt (legacy behavior)
121
  return {
122
+ 'prompt': custom_prompt or style,
123
  'lora_url': custom_lora_url
124
  }
125
 
 
132
  if chunk:
133
  buffer += chunk
134
  lines = buffer.split('\n')
135
+ buffer = lines.pop()
136
 
137
  for line in lines:
138
  if line.startswith('data: ') and len(line) > 6:
 
143
 
144
  data = json.loads(data_content)
145
 
 
146
  if (data.get('json', {}).get('type') in ['progress', 'completed'] and
147
  data.get('json', {}).get('data', {}).get('images')):
148
 
 
159
  @app.route('/api/transform', methods=['POST'])
160
  def transform_image():
161
  try:
 
162
  data = request.get_json()
163
 
164
  if not data:
165
  return jsonify({'success': False, 'error': 'No JSON data provided'}), 400
166
 
 
167
  image_url = data.get('image_url')
168
  style = data.get('style')
169
+ custom_prompt = data.get('custom_prompt') # New field
170
  custom_lora_url = data.get('lora_url')
171
 
 
172
  if not image_url:
173
  return jsonify({'success': False, 'error': 'image_url is required'}), 400
174
 
175
  if not style:
176
  return jsonify({'success': False, 'error': 'style is required'}), 400
177
 
 
178
  if not image_url.startswith(('http://', 'https://')):
179
  return jsonify({'success': False, 'error': 'Invalid image URL'}), 400
180
 
181
+ style_config = get_style_config(style, custom_prompt, custom_lora_url)
 
182
 
 
183
  generate_params = {
184
  'json': {
185
  'imageUrl': image_url,
 
190
  if style_config['lora_url']:
191
  generate_params['json']['loraUrl'] = style_config['lora_url']
192
 
 
193
  generate_url = f"https://fal-kontext-demo.vercel.app/api/trpc/generateImageStream?input={requests.utils.quote(json.dumps(generate_params))}"
194
 
195
  response = requests.get(generate_url, stream=True)
196
  if response.status_code != 200:
197
  return jsonify({'success': False, 'error': 'Failed to generate styled image'}), 500
198
 
 
199
  uploaded_images = process_stream_response(response)
200
 
201
  return jsonify({
202
  'success': True,
203
  'originalImage': image_url,
204
  'style': style,
205
+ 'promptUsed': style_config['prompt'],
206
  'generatedImages': uploaded_images,
207
  'count': len(uploaded_images)
208
  })
 
214
  def index():
215
  return jsonify({
216
  'message': 'Image Style Transfer API',
217
+ 'usage': 'POST /api/transform with JSON body: {"image_url": "...", "style": "...", "custom_prompt": "(optional)", "lora_url": "(optional)"}',
218
+ 'note': 'If "custom_prompt" is provided, it will override the default prompt for the selected "style", while still using the style\'s LoRA.',
219
  'styles': list(STYLES.keys())
220
  })
221