forked from cgvr/DeltaVR
106 lines
2.4 KiB
Plaintext
106 lines
2.4 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "2c0da293",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"c:\\Users\\henrisel.DOMENIS\\DeltaVR3DModelGeneration\\3d-generation-pipeline\\.venv\\lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
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" from .autonotebook import tqdm as notebook_tqdm\n"
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]
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}
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],
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"source": [
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"import torch\n",
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"from diffusers import FluxPipeline"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "51879ff1",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Fetching 23 files: 0%| | 0/23 [00:00<?, ?it/s]"
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]
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}
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],
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"source": [
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"model_name = \"black-forest-labs/FLUX.1-schnell\"\n",
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"\n",
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"pipe = FluxPipeline.from_pretrained(model_name, torch_dtype=torch.bfloat16)\n",
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"#pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "50a38bf4",
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"metadata": {},
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"outputs": [],
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"source": [
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"prompt = \"slightly curved sword, one side blue and other side green\"\n",
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"pipe_result = pipe(\n",
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" prompt,\n",
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" guidance_scale=0.0,\n",
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" num_inference_steps=4,\n",
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" max_sequence_length=256,\n",
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" generator=torch.Generator(\"gpu\")\n",
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")\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "b692177a",
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"metadata": {},
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"outputs": [],
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"source": [
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"pipe_result"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d55eb3ce",
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"metadata": {},
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"outputs": [],
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"source": [
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"image = pipe_result[\"images\"][0]\n",
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"image.save(\"flux-schnell.png\")"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": ".venv",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.11"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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