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feat: support for TIs #294

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merged 1 commit into from
Aug 27, 2023
Merged

feat: support for TIs #294

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1 change: 1 addition & 0 deletions bridge_stable_diffusion.py
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Original file line number Diff line number Diff line change
Expand Up @@ -68,6 +68,7 @@ def main():
MODEL_CATEGORY_NAMES.esrgan,
MODEL_CATEGORY_NAMES.safety_checker,
MODEL_CATEGORY_NAMES.lora,
MODEL_CATEGORY_NAMES.ti,
],
)

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2 changes: 1 addition & 1 deletion requirements.txt
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Expand Up @@ -3,7 +3,7 @@ torch # We have to place it here otherwise it installs the CPU version
pydantic==1.10.12
horde_model_reference~=0.2.2
transformers==4.30.2
hordelib==1.6.2
hordelib==1.6.5
gradio
pyyaml
unidecode
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2 changes: 1 addition & 1 deletion worker/consts.py
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@@ -1,4 +1,4 @@
BRIDGE_VERSION = 23
BRIDGE_VERSION = 24
RELEASE = f"{BRIDGE_VERSION}.1.11"
BRIDGE_CONFIG_FILE = "bridgeData.yaml"
KNOWN_UPSCALERS = {
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8 changes: 6 additions & 2 deletions worker/jobs/stable_diffusion.py
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Expand Up @@ -125,6 +125,8 @@ def start_job(self):
gen_payload["return_control_map"] = self.current_payload.get("return_control_map", False)
if "loras" in self.current_payload:
gen_payload["loras"] = self.current_payload["loras"]
if "tis" in self.current_payload:
gen_payload["tis"] = self.current_payload["tis"]
except KeyError as err:
logger.error("Received incomplete payload from job. Aborting. ({})", err)
self.status = JobStatus.FAULTED
Expand Down Expand Up @@ -170,8 +172,10 @@ def start_job(self):
f"for {self.current_payload.get('ddim_steps',50)} steps "
f"{self.current_payload.get('sampler_name','unknown sampler')}. "
f"Prompt length is {len(self.current_payload['prompt'])} characters "
f"And it appears to contain {len(gen_payload.get('loras', []))} "
f"loras: {[lora['name'] for lora in gen_payload.get('loras', [])]}",
f"and it appears to contain {len(gen_payload.get('loras', []))} "
f"LoRas: {[lora['name'] for lora in gen_payload.get('loras', [])]} "
f"and {len(gen_payload.get('tis', []))} "
f"Textual Inversions: {[ti['name'] for ti in gen_payload.get('tis', [])]}",
)
time_state = time.time()
gen_payload["model"] = self.current_model
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