A package for interacting with GPT4-based chat services, OpenChat, Bard, Gemini, LlaMa, Mixtral, Prodia, Kandinsky, Absolutebeauty, Sdxl, Dalle and AI Icon
Project description
rsnchat
This package package for interacting with GPT4-based chat services, OpenChat, Bard, Gemini, LlaMa, Mixtral, Prodia, Kandinsky, Absolutebeauty, Sdxl, Dalle and AI Icon without restrictions or limits
Installation
You can install the package via Pypi
pip install rsnchat
APIKEY
Discord : https://discord.gg/r5QWdKfQxr
Join discord server and create account with /new slash command and get your apikey with /key slash command for free!
Usage GPT4
from rsnchat import RsnChat
rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")
gpt_response = rsn_chat.gpt("hello what is your name?")
print(gpt_response.get('message', ''))
Usage OpenChat
from rsnchat import RsnChat
rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")
openchat_response = rsn_chat.openchat("hello what is your name?")
print(openchat_response.get('message', ''))
Usage Bard
from rsnchat import RsnChat
rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")
bard_response = rsn_chat.bard("hello what is your name?")
print(bard_response.get('message', ''))
Usage Gemini
from rsnchat import RsnChat
rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")
gemini_response = rsn_chat.gemini("hello what is your name?")
print(gemini_response.get('message', ''))
Usage LlaMa
from rsnchat import RsnChat
rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")
llama_response = rsn_chat.llama("hello what is your name?")
print(llama_response.get('message', ''))
Usage Mixtral
from rsnchat import RsnChat
rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")
mixtral_response = rsn_chat.mixtral("hello what is your name?")
print(mixtral_response.get('message', ''))
Usage Prodia
from rsnchat import RsnChat
rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")
prompt = "beautiful girl"
negative_prompt = "blury, bad quality"
model = "absolutereality_v181.safetensors [3d9d4d2b]"
response = rsn_chat.prodia(prompt, negative_prompt, model)
response.then(
lambda response: print(response),
lambda error: print(f"Error: {error}")
)
Prodia Models
List of prodia models
- 3Guofeng3_v34.safetensors [50f420de]
- absolutereality_V16.safetensors [37db0fc3]
- absolutereality_v181.safetensors [3d9d4d2b]
- amIReal_V41.safetensors [0a8a2e61]
- analog-diffusion-1.0.ckpt [9ca13f02]
- anythingv3_0-pruned.ckpt [2700c435]
- anything-v4.5-pruned.ckpt [65745d25]
- anythingV5_PrtRE.safetensors [893e49b9]
- AOM3A3_orangemixs.safetensors [9600da17]
- blazing_drive_v10g.safetensors [ca1c1eab]
- cetusMix_Version35.safetensors [de2f2560]
- childrensStories_v13D.safetensors [9dfaabcb]
- childrensStories_v1SemiReal.safetensors [a1c56dbb]
- childrensStories_v1ToonAnime.safetensors [2ec7b88b]
- Counterfeit_v30.safetensors [9e2a8f19]
- cuteyukimixAdorable_midchapter3.safetensors [04bdffe6]
- cyberrealistic_v33.safetensors [82b0d085]
- dalcefo_v4.safetensors [425952fe]
- deliberate_v2.safetensors [10ec4b29]
- deliberate_v3.safetensors [afd9d2d4]
- dreamlike-anime-1.0.safetensors [4520e090]
- dreamlike-diffusion-1.0.safetensors [5c9fd6e0]
- dreamlike-photoreal-2.0.safetensors [fdcf65e7]
- dreamshaper_6BakedVae.safetensors [114c8abb]
- dreamshaper_7.safetensors [5cf5ae06]
- dreamshaper_8.safetensors [9d40847d]
- edgeOfRealism_eorV20.safetensors [3ed5de15]
- EimisAnimeDiffusion_V1.ckpt [4f828a15]
- elldreths-vivid-mix.safetensors [342d9d26]
- epicrealism_naturalSinRC1VAE.safetensors [90a4c676]
- ICantBelieveItsNotPhotography_seco.safetensors [4e7a3dfd]
- juggernaut_aftermath.safetensors [5e20c455]
- lofi_v4.safetensors [ccc204d6]
- lyriel_v16.safetensors [68fceea2]
- majicmixRealistic_v4.safetensors [29d0de58]
- mechamix_v10.safetensors [ee685731]
- meinamix_meinaV9.safetensors [2ec66ab0]
- meinamix_meinaV11.safetensors [b56ce717]
- neverendingDream_v122.safetensors [f964ceeb]
- openjourney_V4.ckpt [ca2f377f]
- pastelMixStylizedAnime_pruned_fp16.safetensors [793a26e8]
- portraitplus_V1.0.safetensors [1400e684]
- protogenx34.safetensors [5896f8d5]
- Realistic_Vision_V1.4-pruned-fp16.safetensors [8d21810b]
- Realistic_Vision_V2.0.safetensors [79587710]
- Realistic_Vision_V4.0.safetensors [29a7afaa]
- Realistic_Vision_V5.0.safetensors [614d1063]
- redshift_diffusion-V10.safetensors [1400e684]
- revAnimated_v122.safetensors [3f4fefd9]
- rundiffusionFX25D_v10.safetensors [cd12b0ee]
- rundiffusionFX_v10.safetensors [cd4e694d]
- sdv1_4.ckpt [7460a6fa]
- shoninsBeautiful_v10.safetensors [25d8c546]
- theallys-mix-ii-churned.safetensors [5d9225a4]
- timeless-1.0.ckpt [7c4971d4]
- toonyou_beta6.safetensors [980f6b15]
Usage Kandinsky
from rsnchat import RsnChat
rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")
# Define your prompt and negative prompt
prompt = "beautiful girl"
negative_prompt = "blury, bad quality"
# Send the Kandinsky prompt
response = rsn_chat.kandinsky(prompt, negative_prompt)
# Process and print the response
response.then(
lambda response: print(response),
lambda error: print(f"Error: {error}")
)
Usage Absolutebeauty
from rsnchat import RsnChat
rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")
prompt = "beautiful girl"
negative_prompt = "blury, bad quality"
response = rsn_chat.absolutebeauty(prompt, negative_prompt)
response.then(
lambda response: print(response),
lambda error: print(f"Error: {error}")
)
Usage Sdxl
from rsnchat import RsnChat
rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")
prompt = "beautiful girl"
negative_prompt = "blury, bad quality"
response = rsn_chat.sdxl(prompt, negative_prompt)
response.then(
lambda response: print(response),
lambda error: print(f"Error: {error}")
)
Usage Dalle
from rsnchat import RsnChat
rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")
prompt = "beautiful girl"
negative_prompt = "blury, bad quality"
response = rsn_chat.dalle(prompt, negative_prompt)
response.then(
lambda response: print(response),
lambda error: print(f"Error: {error}")
)
Usage AI Icon
from rsnchat import RsnChat
rsn_chat = RsnChat("chatgpt_××××××××××××××××××××××")
prompt = "beautiful girl"
negative_prompt = "blury, bad quality"
response = rsn_chat.icon(prompt, negative_prompt)
response.then(
lambda response: print(response),
lambda error: print(f"Error: {error}")
)
The version 2.0.1 of the Python (PIP) package of the RSN-Chat is equivalent to the version 2.0.6 of the RSN-Chat JavaScript (NPM) package
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