Open souravsk opened 5 months ago
You can check the runpod option. It only needs to pull a docker image. From: "Sourav @.> Date: Wed, Apr 17, 2024, 18:51 Subject: [External] [wolverinn/stable-diffusion-multi-user] Do any one have docker image for this (Issue #16) To: "wolverinn/stable-diffusion-multi-user"< @.> Cc: @.***>
I was trying to run but there are a lot of version issues as it's in Python so it's expected but I have very basic knowledge of Python it will be easy forks like just pulling the image or building to run it and then we can also use that in production.
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Actually, I want to run it with Dockar if it goes into production then it will be easier for me.
Hey @wolverinn i have pulled your docker image and it showing this error
docker run -it -p 7860:7860 wolverinn/sd_multi_demo:v187
Mount success. Executing CMD now...
font_manager.py :1578 2024-04-18 11:10:33,009 generated new fontManager
instantiator.py :21 2024-04-18 11:10:33,721 Created a temporary directory at /tmp/tmpz0_p8rvy
instantiator.py :76 2024-04-18 11:10:33,722 Writing /tmp/tmpz0_p8rvy/_remote_module_non_scriptable.py
No module 'xformers'. Proceeding without it.
Traceback (most recent call last):
File "/handler.py", line 7, in <module>
from webui_v2 import manual_api
File "/webui_v2.py", line 42, in <module>
from modules.call_queue import wrap_gradio_gpu_call, wrap_queued_call, queue_lock # noqa: F401
File "/modules/call_queue.py", line 5, in <module>
from modules import shared, progress, errors
File "/modules/shared.py", line 78, in <module>
os.makedirs(cmd_opts.hypernetwork_dir, exist_ok=True)
File "/usr/local/lib/python3.10/os.py", line 225, in makedirs
mkdir(name, mode)
FileNotFoundError: [Errno 2] No such file or directory: '/models/hypernetworks'
it is saying it is missing a file Running in Ubuntu laptop
Don't use v187. You can build your own docker image.
I have but it is also giving errors. @wolverinn
docker build -t sd-multi1 .
[+] Building 519.6s (12/12) FINISHED docker:default
=> [internal] load build definition from Dockerfile 0.0s
=> => transferring dockerfile: 1.24kB 0.0s
=> [internal] load metadata for docker.io/library/python:3.10-slim 3.4s
=> [auth] library/python:pull token for registry-1.docker.io 0.0s
=> [internal] load .dockerignore 0.0s
=> => transferring context: 2B 0.0s
=> [1/7] FROM docker.io/library/python:3.10-slim@sha256:64157e9ca781b9d18e4d7e613f4a3f19365a26d82da87ff1aa82a03eacb34687 3.3s
=> => resolve docker.io/library/python:3.10-slim@sha256:64157e9ca781b9d18e4d7e613f4a3f19365a26d82da87ff1aa82a03eacb34687 0.0s
=> => sha256:3e36db268f77cf5b62d5b1552ddf83064831fccc0cd15aa377b37a6f6b3d8426 1.37kB / 1.37kB 0.0s
=> => sha256:797a4d7093b1028477f9d411a8863f69d8425fcb18299f85b9802ed753b45359 6.92kB / 6.92kB 0.0s
=> => sha256:13808c22b207b066ef43572e57e4fb8c6172e887dd9a918c089a174a19371b7a 29.13MB / 29.13MB 2.1s
=> => sha256:6c9a484475c10b31eadca58e66b24d9babf508955f52c40080a00595c55cc6c1 3.51MB / 3.51MB 2.2s
=> => sha256:fb408522af2500445c32fdd40f0906a8b7588778fe0495e6fe1e7753c28f7db9 12.38MB / 12.38MB 2.2s
=> => sha256:64157e9ca781b9d18e4d7e613f4a3f19365a26d82da87ff1aa82a03eacb34687 1.65kB / 1.65kB 0.0s
=> => sha256:54ac57f982453d6a948aedba1330e4f69e23d434958492285f1aabbc12de67ca 244B / 244B 2.4s
=> => extracting sha256:13808c22b207b066ef43572e57e4fb8c6172e887dd9a918c089a174a19371b7a 0.6s
=> => sha256:de5947f2220769b2a58876db17ca1fb93c1060be8016fba30dc376f317ec9baa 3.36MB / 3.36MB 2.8s
=> => extracting sha256:6c9a484475c10b31eadca58e66b24d9babf508955f52c40080a00595c55cc6c1 0.1s
=> => extracting sha256:fb408522af2500445c32fdd40f0906a8b7588778fe0495e6fe1e7753c28f7db9 0.2s
=> => extracting sha256:54ac57f982453d6a948aedba1330e4f69e23d434958492285f1aabbc12de67ca 0.0s
=> => extracting sha256:de5947f2220769b2a58876db17ca1fb93c1060be8016fba30dc376f317ec9baa 0.1s
=> [internal] load build context 0.1s
=> => transferring context: 15.99MB 0.1s
=> [2/7] COPY requirements.txt / 0.2s
=> [3/7] RUN apt-get update && apt-get install -y libgl1-mesa-glx && apt-get install -y libglib2.0-0 && apt-get install -y git && rm -rf /var/lib/apt/lists/* 15.1s
=> [4/7] RUN pip3 install runpod==0.9.12 && pip3 install -r requirements.txt && pip3 install torch==1.13.1+cu117 --extra-index-url https://download.pytorch.org/whl/cu1 484.2s
=> [5/7] COPY . / 0.4s
=> [6/7] RUN chmod +x docker_entrypoint.sh 0.3s
=> exporting to image 12.6s
=> => exporting layers 12.5s
=> => writing image sha256:245ad8c72b70bcc982e64a422e7245f1ea4c0b5765a50a16a309a830d21c4733 0.0s
=> => naming to docker.io/library/sd-multi1 0.0s
nexgensis@nexgensis-ThinkPad-E14-Gen-3:~/Desktop/AI/stable-diffusion-multi-user/sd-docker-slim$ docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
sd-multi1 latest 245ad8c72b70 57 seconds ago 6.53GB
docker-elk-kibana latest 7930f699a8c4 12 days ago 1.06GB
docker-elk-logstash latest 5a0b36775a85 12 days ago 843MB
docker-elk-elasticsearch latest 68888c608d45 12 days ago 1.24GB
stable-diffusion-dockercompose_stablediff-cpu latest 3a57c810c545 2 weeks ago 3.8GB
ubuntu latest ca2b0f26964c 7 weeks ago 77.9MB
wolverinn/sd_multi_demo v187 cdd81e0997e8 5 months ago 7.23GB
nexgensis@nexgensis-ThinkPad-E14-Gen-3:~/Desktop/AI/stable-diffusion-multi-user/sd-docker-slim$ docker run -it -p 7860:7860 sd-multi1
Mount success. Executing CMD now...
font_manager.py :1578 2024-04-18 10:26:18,105 generated new fontManager
Traceback (most recent call last):
File "/handler.py", line 19, in <module>
from modules.call_queue import wrap_queued_call, queue_lock, wrap_gradio_gpu_call
File "/modules/call_queue.py", line 7, in <module>
from modules import shared, progress
File "/modules/shared.py", line 9, in <module>
import gradio as gr
File "/usr/local/lib/python3.10/site-packages/gradio/__init__.py", line 3, in <module>
import gradio.components as components
File "/usr/local/lib/python3.10/site-packages/gradio/components.py", line 34, in <module>
from gradio import media_data, processing_utils, utils
File "/usr/local/lib/python3.10/site-packages/gradio/processing_utils.py", line 23, in <module>
from gradio import encryptor, utils
File "/usr/local/lib/python3.10/site-packages/gradio/utils.py", line 416, in <module>
class AsyncRequest:
File "/usr/local/lib/python3.10/site-packages/gradio/utils.py", line 436, in AsyncRequest
client = httpx.AsyncClient()
File "/usr/local/lib/python3.10/site-packages/httpx/_client.py", line 1397, in __init__
self._transport = self._init_transport(
File "/usr/local/lib/python3.10/site-packages/httpx/_client.py", line 1445, in _init_transport
return AsyncHTTPTransport(
File "/usr/local/lib/python3.10/site-packages/httpx/_transports/default.py", line 275, in __init__
self._pool = httpcore.AsyncConnectionPool(
TypeError: AsyncConnectionPool.__init__() got an unexpected keyword argument 'socket_options'
Looks like the stable-diffusion-webui files used in my /sd-docker-slim is outdated. I'll replace them with the new ones once I'm available. For now you can replace the files yourself.
Looks like the stable-diffusion-webui files used in my /sd-docker-slim is outdated. I'll replace them with the new ones once I'm available. For now, you can replace the files yourself.
Should I replace all the folders on sd-docker-slim with automatic1111 web UI @wolverinn
I have replaced the folder that are available in the automatic web UI repo and which are not available I user your file but still I'm getting error.
nexgensis@nexgensis-ThinkPad-E14-Gen-3:~/Desktop/AI/sd-docker-slim$ docker build -t sd-multi .
[+] Building 3.1s (11/11) FINISHED docker:default
=> [internal] load build definition from Dockerfile 0.0s
=> => transferring dockerfile: 1.20kB 0.0s
=> [internal] load metadata for docker.io/library/python:3.10-slim 1.8s
=> [internal] load .dockerignore 0.0s
=> => transferring context: 2B 0.0s
=> [1/7] FROM docker.io/library/python:3.10-slim@sha256:64157e9ca781b 0.0s
=> [internal] load build context 0.1s
=> => transferring context: 98.98kB 0.1s
=> CACHED [2/7] COPY requirements.txt / 0.0s
=> CACHED [3/7] RUN apt-get update && apt-get install -y libgl1-mesa- 0.0s
=> CACHED [4/7] RUN pip3 install -r requirements.txt && pip3 inst 0.0s
=> [5/7] COPY . / 0.6s
=> [6/7] RUN chmod +x docker_entrypoint.sh 0.2s
=> exporting to image 0.4s
=> => exporting layers 0.4s
=> => writing image sha256:46552c09080a26109d37e875473a67a4a26a20037b 0.0s
=> => naming to docker.io/library/sd-multi 0.0s
nexgensis@nexgensis-ThinkPad-E14-Gen-3:~/Desktop/AI/sd-docker-slim$ docker run -it -p 7860:7860 sd-multi
Mount success. Executing CMD now...
Traceback (most recent call last):
File "/handler.py", line 18, in <module>
from modules.call_queue import wrap_queued_call, queue_lock, wrap_gradio_gpu_call
File "/modules/call_queue.py", line 5, in <module>
from modules import shared, progress, errors, devices, fifo_lock
File "/modules/shared.py", line 4, in <module>
import gradio as gr
File "/usr/local/lib/python3.10/site-packages/gradio/__init__.py", line 3, in <module>
import gradio.components as components
File "/usr/local/lib/python3.10/site-packages/gradio/components.py", line 34, in <module>
from gradio import media_data, processing_utils, utils
File "/usr/local/lib/python3.10/site-packages/gradio/processing_utils.py", line 23, in <module>
from gradio import encryptor, utils
File "/usr/local/lib/python3.10/site-packages/gradio/utils.py", line 416, in <module>
class AsyncRequest:
File "/usr/local/lib/python3.10/site-packages/gradio/utils.py", line 436, in AsyncRequest
client = httpx.AsyncClient()
File "/usr/local/lib/python3.10/site-packages/httpx/_client.py", line 1397, in __init__
self._transport = self._init_transport(
File "/usr/local/lib/python3.10/site-packages/httpx/_client.py", line 1445, in _init_transport
return AsyncHTTPTransport(
File "/usr/local/lib/python3.10/site-packages/httpx/_transports/default.py", line 275, in __init__
self._pool = httpcore.AsyncConnectionPool(
TypeError: AsyncConnectionPool.__init__() got an unexpected keyword argument 'socket_options'
nexgensis@nexgensis-ThinkPad-E14-Gen-3:~/Desktop/AI/sd-docker-slim$
Check out replicate-cog-slim/
That folder did not have dockerfile i want to build a docker file
I was trying to run but there are a lot of version issues as it's in Python so it's expected but I have very basic knowledge of Python it will be easy forks like just pulling the image or building to run it and then we can also use that in production.